downloading reverse dependencies ... downloading calendR_1.2.tar.gz ... ok downloading calendRio_0.2.1.tar.gz ... ok downloading ggalignment_1.0.2.tar.gz ... ok downloading hexSticker_0.4.9.tar.gz ... ok downloading IDEATools_3.5.2.tar.gz ... ok downloading metabolic_0.1.2.tar.gz ... ok downloading metanetwork_0.7.0.tar.gz ... ok downloading RevGadgets_1.2.1.tar.gz ... ok downloading SWMPrExtension_2.2.5.1.tar.gz ... ok downloading cvms_1.8.0.tar.gz ... ok downloading DAISIEprep_1.0.0.tar.gz ... ok downloading ggbreak_0.1.5.tar.gz ... ok downloading ggfoundry_0.3.1.tar.gz ... ok downloading ggplotify_0.1.2.tar.gz ... ok downloading meme_0.2.4.tar.gz ... ok downloading pcutils_0.2.8.tar.gz ... ok downloading RAINBOWR_0.1.38.tar.gz ... ok installing dependencies ‘AUC’, ‘castor’, ‘corHMM’, ‘DAISIE’, ‘deeptime’, ‘diversitree’, ‘downloadthis’, ‘eulerr’, ‘gggibbous’, ‘gghalves’, ‘ggimage’, ‘gginnards’, ‘ggspatial’, ‘ggVennDiagram’, ‘groupdata2’, ‘haplotypes’, ‘merDeriv’, ‘MM4LMM’, ‘r.proxy’, ‘Rd2roxygen’, ‘rearrr’, ‘relaimpo’, ‘revtools’, ‘shadowtext’, ‘SWMPr’, ‘treemap’, ‘voronoiTreemap’, ‘xpectr’ also installing the dependencies ‘deeptimedata’, ‘DDD’, ‘polylabelr’, ‘ngram’ begin installing package ‘deeptimedata’ begin installing package ‘DDD’ begin installing package ‘polylabelr’ begin installing package ‘ngram’ begin installing package ‘gggibbous’ begin installing package ‘Rd2roxygen’ begin installing package ‘downloadthis’ begin installing package ‘gginnards’ begin installing package ‘SWMPr’ begin installing package ‘rearrr’ begin installing package ‘AUC’ begin installing package ‘merDeriv’ begin installing package ‘xpectr’ begin installing package ‘castor’ begin installing package ‘diversitree’ begin installing package ‘corHMM’ begin installing package ‘shadowtext’ begin installing package ‘gghalves’ begin installing package ‘relaimpo’ begin installing package ‘treemap’ begin installing package ‘voronoiTreemap’ begin installing package ‘r.proxy’ begin installing package ‘ggVennDiagram’ begin installing package ‘MM4LMM’ begin installing package ‘haplotypes’ begin installing package ‘ggimage’ begin installing package ‘ggspatial’ * installing *source* package ‘AUC’ ... ** this is package ‘AUC’ version ‘0.3.2’ ** package ‘AUC’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (AUC) * installing *source* package ‘r.proxy’ ... ** this is package ‘r.proxy’ version ‘0.1.3’ ** package ‘r.proxy’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (r.proxy) * installing *source* package ‘downloadthis’ ... ** this is package ‘downloadthis’ version ‘0.5.0’ ** package ‘downloadthis’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (downloadthis) * installing *source* package ‘Rd2roxygen’ ... ** this is package ‘Rd2roxygen’ version ‘1.16’ ** package ‘Rd2roxygen’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (Rd2roxygen) * installing *source* package ‘deeptimedata’ ... ** this is package ‘deeptimedata’ version ‘1.0.0’ ** package ‘deeptimedata’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deeptimedata) begin installing package ‘deeptime’ * installing *source* package ‘voronoiTreemap’ ... ** this is package ‘voronoiTreemap’ version ‘0.2.0’ ** package ‘voronoiTreemap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (voronoiTreemap) * installing *source* package ‘gggibbous’ ... ** this is package ‘gggibbous’ version ‘0.1.1’ ** package ‘gggibbous’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gggibbous) * installing *source* package ‘ngram’ ... ** this is package ‘ngram’ version ‘3.2.3’ ** package ‘ngram’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpMymVqK/R.INSTALL36014366fa3df9/ngram/src' gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c asweka.c -o asweka.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c babble.c -o babble.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c constructor.c -o constructor.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c converters.c -o converters.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c count.c -o count.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c getseed.c -o getseed.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram_native.c -o ngram_native.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c phrase_table.c -o phrase_table.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c print.c -o print.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/counts.c -o ngram/src/counts.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/gen.c -o ngram/src/gen.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/hash.c -o ngram/src/hash.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/lex.c -o ngram/src/lex.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/process.c -o ngram/src/process.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/wordcmp.c -o ngram/src/wordcmp.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/rand/mt/rand_mt.c -o ngram/src/rand/mt/rand_mt.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/rand/mrg/rand_mrg.c -o ngram/src/rand/mrg/rand_mrg.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/rand/rng_interface.c -o ngram/src/rand/rng_interface.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -DNEXTWORDS -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c ngram/src/rand/samplers.c -o ngram/src/rand/samplers.o gcc-15 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o ngram.so asweka.o babble.o constructor.o converters.o count.o getseed.o ngram_native.o phrase_table.o print.o ngram/src/counts.o ngram/src/gen.o ngram/src/hash.o ngram/src/lex.o ngram/src/process.o ngram/src/wordcmp.o ngram/src/rand/mt/rand_mt.o ngram/src/rand/mrg/rand_mrg.o ngram/src/rand/rng_interface.o ngram/src/rand/samplers.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpMymVqK/R.INSTALL36014366fa3df9/ngram/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-ngram/00new/ngram/libs ** R ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ngram) begin installing package ‘revtools’ * installing *source* package ‘shadowtext’ ... ** this is package ‘shadowtext’ version ‘0.1.6’ ** package ‘shadowtext’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (shadowtext) * installing *source* package ‘gginnards’ ... ** this is package ‘gginnards’ version ‘0.2.0-1’ ** package ‘gginnards’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gginnards) * installing *source* package ‘gghalves’ ... ** this is package ‘gghalves’ version ‘0.1.4’ ** package ‘gghalves’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (gghalves) * installing *source* package ‘xpectr’ ... ** this is package ‘xpectr’ version ‘0.4.4’ ** package ‘xpectr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (xpectr) * installing *source* package ‘ggVennDiagram’ ... ** this is package ‘ggVennDiagram’ version ‘1.5.4’ ** package ‘ggVennDiagram’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggVennDiagram) * installing *source* package ‘ggimage’ ... ** this is package ‘ggimage’ version ‘0.3.4’ ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggimage) * installing *source* package ‘merDeriv’ ... ** this is package ‘merDeriv’ version ‘0.2-5’ ** package ‘merDeriv’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (merDeriv) * installing *source* package ‘polylabelr’ ... ** this is package ‘polylabelr’ version ‘0.3.0’ ** package ‘polylabelr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpAZmj40/R.INSTALL36015054a28ee3/polylabelr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I../inst/include/ -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c poi.cpp -o poi.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o polylabelr.so RcppExports.o poi.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpAZmj40/R.INSTALL36015054a28ee3/polylabelr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-polylabelr/00new/polylabelr/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (polylabelr) begin installing package ‘eulerr’ * installing *source* package ‘ggspatial’ ... ** this is package ‘ggspatial’ version ‘1.1.10’ ** package ‘ggspatial’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (ggspatial) * installing *source* package ‘treemap’ ... ** this is package ‘treemap’ version ‘2.4-4’ ** package ‘treemap’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (treemap) * installing *source* package ‘rearrr’ ... ** this is package ‘rearrr’ version ‘0.3.5’ ** package ‘rearrr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (rearrr) begin installing package ‘groupdata2’ * installing *source* package ‘SWMPr’ ... ** this is package ‘SWMPr’ version ‘2.5.2’ ** package ‘SWMPr’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (SWMPr) * installing *source* package ‘relaimpo’ ... ** this is package ‘relaimpo’ version ‘2.2-7’ ** package ‘relaimpo’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (relaimpo) * installing *source* package ‘haplotypes’ ... ** this is package ‘haplotypes’ version ‘1.1.3.1’ ** package ‘haplotypes’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading Creating a generic function for ‘ncol’ from package ‘base’ in package ‘haplotypes’ Creating a generic function for ‘nrow’ from package ‘base’ in package ‘haplotypes’ Creating a generic function for ‘tolower’ from package ‘base’ in package ‘haplotypes’ Creating a generic function for ‘toupper’ from package ‘base’ in package ‘haplotypes’ Creating a generic function for ‘rownames’ from package ‘base’ in package ‘haplotypes’ Creating a generic function for ‘rownames<-’ from package ‘base’ in package ‘haplotypes’ in method for ‘as.dna’ with signature ‘"DNAbin"’: no definition for class “DNAbin” in method for ‘as.dna’ with signature ‘"phyDat"’: no definition for class “phyDat” Creating a generic function for ‘append’ from package ‘base’ in package ‘haplotypes’ in method for ‘pairnei’ with signature ‘"dist"’: no definition for class “dist” in method for ‘pairPhiST’ with signature ‘"dist"’: no definition for class “dist” in method for ‘haplotype’ with signature ‘"dist"’: no definition for class “dist” Creating a new generic function for ‘grouping’ in package ‘haplotypes’ in method for ‘parsimnet’ with signature ‘"dist"’: no definition for class “dist” ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (haplotypes) * installing *source* package ‘corHMM’ ... ** this is package ‘corHMM’ version ‘2.8’ ** package ‘corHMM’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (corHMM) * installing *source* package ‘deeptime’ ... ** this is package ‘deeptime’ version ‘2.2.0’ ** package ‘deeptime’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (deeptime) * installing *source* package ‘revtools’ ... ** this is package ‘revtools’ version ‘0.4.1’ ** package ‘revtools’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (revtools) * installing *source* package ‘groupdata2’ ... ** this is package ‘groupdata2’ version ‘2.0.5’ ** package ‘groupdata2’ successfully unpacked and MD5 sums checked ** using staged installation ** R ** inst ** byte-compile and prepare package for lazy loading Note: wrong number of arguments to 'floor' ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (groupdata2) * installing *source* package ‘diversitree’ ... ** this is package ‘diversitree’ version ‘0.10-1’ ** package ‘diversitree’ successfully unpacked and MD5 sums checked ** using staged installation checking for gcc... gcc-15 checking whether the C compiler works... yes checking for C compiler default output file name... a.out checking for suffix of executables... checking whether we are cross compiling... no checking for suffix of object files... o checking whether we are using the GNU C compiler... yes checking whether gcc-15 accepts -g... yes checking for gcc-15 option to accept ISO C89... none needed checking how to run the C preprocessor... gcc-15 -E checking for grep that handles long lines and -e... /usr/bin/grep checking for egrep... /usr/bin/grep -E checking for ANSI C header files... yes checking for sys/types.h... yes checking for sys/stat.h... yes checking for stdlib.h... yes checking for string.h... yes checking for memory.h... yes checking for strings.h... yes checking for inttypes.h... yes checking for stdint.h... yes checking for unistd.h... yes checking fftw3.h usability... yes checking fftw3.h presence... yes checking for fftw3.h... yes Using fftw for QuaSSE FFT calculations checking for gsl-config... /usr/bin/gsl-config checking if GSL version >= 1.15... yes configure: creating ./config.status config.status: creating src/Makevars config.status: creating src/config.h ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-1) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmpp3wrKA/R.INSTALL36017647f56129/diversitree/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c GslOdeBase.cpp -o GslOdeBase.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c GslOdeCompiled.cpp -o GslOdeCompiled.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c GslOdeR.cpp -o GslOdeR.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c GslOdeTime.cpp -o GslOdeTime.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c Spline.cpp -o Spline.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c TimeMachine.cpp -o TimeMachine.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c asr-joint.c -o asr-joint.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bd-eqs.c -o bd-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bisse-eqs.c -o bisse-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c bisseness-eqs.c -o bisseness-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c classe-eqs.c -o classe-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c continuous.c -o continuous.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c derivs.c -o derivs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c geosse-eqs.c -o geosse-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c hdr.c -o hdr.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c interface.cpp -o interface.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mkn-eqs.c -o mkn-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mkn-meristic-eqs.c -o mkn-meristic-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c mkn-pij.c -o mkn-pij.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c musse-eqs.c -o musse-eqs.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quasse-eqs-fftC.c -o quasse-eqs-fftC.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c quasse-eqs-mol.c -o quasse-eqs-mol.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c rfftw.c -o rfftw.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c scm-mkn.c -o scm-mkn.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c simulate-bisse.c -o simulate-bisse.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util-matrix.c -o util-matrix.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util-splines.c -o util-splines.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c util.c -o util.o gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I. -I/usr/include -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c zzz.c -o zzz.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o diversitree.so GslOdeBase.o GslOdeCompiled.o GslOdeR.o GslOdeTime.o Spline.o TimeMachine.o asr-joint.o bd-eqs.o bisse-eqs.o bisseness-eqs.o classe-eqs.o continuous.o derivs.o geosse-eqs.o hdr.o interface.o mkn-eqs.o mkn-meristic-eqs.o mkn-pij.o musse-eqs.o quasse-eqs-fftC.o quasse-eqs-mol.o rfftw.o scm-mkn.o simulate-bisse.o util-matrix.o util-splines.o util.o zzz.o -lfftw3 -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/usr/lib/x86_64-linux-gnu -lgsl -lgslcblas -lm -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmpp3wrKA/R.INSTALL36017647f56129/diversitree/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-diversitree/00new/diversitree/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (diversitree) * installing *source* package ‘DDD’ ... ** this is package ‘DDD’ version ‘5.2.2’ ** package ‘DDD’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp2Xaqk1/R.INSTALL36012e1a7ae581/DDD/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:4: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dd_integrate_bw_odeint.cpp -o dd_integrate_bw_odeint.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from odeint_helper.h:55, from dd_integrate_bw_odeint.cpp:5: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = std::vector; OutputIterator = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = std::vector; Container2 = std::vector]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:344:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = std::vector; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper, void>; State = std::vector; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:495:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_bw_odeint.cpp:75:27: required from here 75 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], (times[1] - times[0]) / steps, atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dd_integrate_odeint.cpp -o dd_integrate_odeint.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from odeint_helper.h:55, from dd_integrate_odeint.cpp:9: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = std::vector; OutputIterator = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = std::vector; Container2 = std::vector]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:344:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = std::vector; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper, void>; State = std::vector; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:495:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_odeint.cpp:73:27: required from here 73 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dd_integrate_td_odeint.cpp -o dd_integrate_td_odeint.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/cstdfloat.hpp:27, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/detail/float128_functions.hpp:15, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/detail/fpclassify.hpp:13, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/detail/default_ops.hpp:15, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/detail/generic_interconvert.hpp:12, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/number.hpp:12, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/cpp_int.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/multiprecision/cpp_bin_float.hpp:15, from dd_integrate_td_odeint.cpp:6: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/math/cstdfloat/cstdfloat_cmath.hpp:714:16: warning: non-standard suffix on floating constant [-Wpedantic] 714 | else if (x == BOOST_FLOAT128_C(0.0)) | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/math/cstdfloat/cstdfloat_cmath.hpp:717:16: warning: non-standard suffix on floating constant [-Wpedantic] 717 | if (::BOOST_CSTDFLOAT_FLOAT128_FABS(x) < BOOST_CSTDFLOAT_FLOAT128_MIN) | ^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from odeint_helper.h:55, from dd_integrate_td_odeint.cpp:7: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = std::vector; OutputIterator = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = std::vector; Container2 = std::vector]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:344:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = std::vector; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper, void>; State = std::vector; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:495:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_integrate_td_odeint.cpp:81:27: required from here 81 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c dd_logliknorm_odeint.cpp -o dd_logliknorm_odeint.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/matrix.hpp:18, from dd_logliknorm_odeint.cpp:8: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from odeint_helper.h:55, from dd_logliknorm_odeint.cpp:10: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = std::vector; OutputIterator = __gnu_cxx::__normal_iterator >]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = std::vector; Container2 = std::vector]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = std::vector; Container2 = std::vector]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:344:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = std::vector; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = std::vector; State2 = std::vector]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper, void>; State = std::vector; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:495:44: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = __gnu_cxx::__normal_iterator >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/controlled_runge_kutta.hpp:283:27: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::controlled_runge_kutta::try_step(System, StateInOut&, time_type&, time_type&) [with System = std::reference_wrapper; StateInOut = std::vector; ErrorStepper = boost::numeric::odeint::runge_kutta_cash_karp54, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; ErrorChecker = boost::numeric::odeint::default_error_checker; StepAdjuster = boost::numeric::odeint::default_step_adjuster; Resizer = boost::numeric::odeint::initially_resizer; time_type = double]’ 283 | return try_step_v1( system , x , t, dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::controlled_runge_kutta, double, std::vector, double, boost::numeric::odeint::range_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>, boost::numeric::odeint::default_error_checker, boost::numeric::odeint::default_step_adjuster, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = controlled_runge_kutta, double, std::vector, double, range_algebra, default_operations, initially_resizer>, default_error_checker, default_step_adjuster, initially_resizer, explicit_error_stepper_tag>; System = std::reference_wrapper; State = std::vector; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ odeint_helper.h:90:30: required from ‘void odeint_helper::integrate(const std::string&, ODE, STATE&, double, double, double, double, double) [with ODE = std::reference_wrapper; STATE = std::vector; std::string = std::__cxx11::basic_string]’ 90 | bno::integrate_adaptive(bno::make_controlled>(atol, rtol), ode, start_state, t0, t1, dt); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ dd_logliknorm_odeint.cpp:142:27: required from here 142 | odeint_helper::integrate(stepper, std::ref(rhs_obj), y, times[0], times[1], 0.1 * (times[1] - times[0]), atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = std::vector]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o DDD.so RcppExports.o dd_integrate_bw_odeint.o dd_integrate_odeint.o dd_integrate_td_odeint.o dd_logliknorm_odeint.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp2Xaqk1/R.INSTALL36012e1a7ae581/DDD/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DDD/00new/DDD/libs ** R ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DDD) begin installing package ‘DAISIE’ * installing *source* package ‘MM4LMM’ ... ** this is package ‘MM4LMM’ version ‘3.0.3’ ** package ‘MM4LMM’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/Rtmp2wYFz6/R.INSTALL36018f59226846/MM4LMM/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c All.cpp -o All.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from All.cpp:3: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ Inversion.h:13:8: required from here 13 | if (X.isDiagonal()) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ Inversion.h:13:8: required from here 13 | if (X.isDiagonal()) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ Inversion.h:14:11: required from here 14 | VectorXd xDiag = X.diagonal(); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ Inversion.h:14:29: required from here 14 | VectorXd xDiag = X.diagonal(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ Inversion.h:15:36: required from here 15 | VectorXd xinv = xDiag.cwiseInverse(); | ~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ Inversion.h:23:43: required from here 23 | Y.triangularView() = Y.transpose(); // symétriser | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ Inversion.h:30:17: required from here 30 | blocki(X, 0, X.rows(), Y, 0, log_det, det, eps); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ Inversion.h:30:17: required from here 30 | blocki(X, 0, X.rows(), Y, 0, log_det, det, eps); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ Inversion.h:31:42: required from here 31 | Y.triangularView() = Y.transpose(); // symétriser | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map >’ 94 | template class Map | ^~~ RemlMM.h:49:38: required from here 49 | MatrixXd MatVar(as >(VarList[i])); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:50:30: required from here 50 | Var += MatVar * SigmaNew(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:50:30: required from here 50 | Var += MatVar * SigmaNew(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:56:20: required from here 56 | Varx = Var_inv * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:57:27: required from here 57 | xVarx = X.transpose() * Varx; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SelfAdjointView, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SelfAdjointView, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SelfAdjointView, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:60:57: required from here 60 | P = Var_inv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:60:76: required from here 60 | P = Var_inv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:60:76: required from here 60 | P = Var_inv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:61:50: required from here 61 | InvFixed = P.selfadjointView() * Y; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ RemlMM.h:64:62: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:64:67: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:64:67: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:109:31: required from here 109 | SigmaNew = Toto.cwiseProduct(SigmaOld); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:111:31: required from here 111 | VectorXd DiffAbs = SigmaNew-SigmaOld; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:124:60: required from here 124 | VectorXd v = SigmaNew - SigmaOld - r; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:132:55: required from here 132 | SigmaNew = SigmaAnc - 2*Alpha*r + pow(Alpha,2)*v; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:132:55: required from here 132 | SigmaNew = SigmaAnc - 2*Alpha*r + pow(Alpha,2)*v; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:132:55: required from here 132 | SigmaNew = SigmaAnc - 2*Alpha*r + pow(Alpha,2)*v; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:132:72: required from here 132 | SigmaNew = SigmaAnc - 2*Alpha*r + pow(Alpha,2)*v; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:135:40: required from here 135 | if (SigmaNew[i]<=0) SigmaNew = v + r + SigmaOld; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM.h:135:44: required from here 135 | if (SigmaNew[i]<=0) SigmaNew = v + r + SigmaOld; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:153:66: required from here 153 | Beta = xVarx_inv.selfadjointView() * (Varx.transpose() * Y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Product >, Eigen::Matrix, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM.h:153:67: required from here 153 | Beta = xVarx_inv.selfadjointView() * (Varx.transpose() * Y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:35:40: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:61:51: required from here 61 | MatrixXd RinvX = Rinv.selfadjointView() * X; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SelfAdjointView, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SelfAdjointView, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:64:91: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:64:95: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:64:95: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ RemlMMHen.h:79:11: required from here 79 | Hen.block(0,0,NbCof,NbCof) = X.transpose() * RinvX; | ~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:114:85: required from here 114 | Ginv.block(Tmp,Tmp,DimG[i+1],DimG[i+1]) = MatG_inv * SigmaNew[NbVar-1]/SigmaNew[i]; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:120:15: required from here 120 | MME = Hen + GinvCompl; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:136:20: required from here 136 | Residual = Y - X*Beta - Z*Uhat; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:136:20: required from here 136 | Residual = Y - X*Beta - Z*Uhat; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:136:29: required from here 136 | Residual = Y - X*Beta - Z*Uhat; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:202:35: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHen.h:202:39: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:271:57: required from here 271 | Hen.block(0,0,NbAlea,NbAlea) = Z.transpose() * RinvZ + Ginv; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHen.h:280:76: required from here 280 | MatrixXd VarBeta = SigmaOld[NbVar-1]*Hen_inv.bottomRightCorner(NbCof,NbCof); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ 103 | template class Block | ^~~~~ RemlMMHenDiag.h:36:44: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ 103 | template class Block | ^~~~~ RemlMMHenDiag.h:36:53: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHenDiag.h:36:63: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHenDiag.h:36:63: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ RemlMMHenDiag.h:41:32: required from here 41 | VectorXd R(as >(GList[NbVar-1])); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMMHenDiag.h:68:84: required from here 68 | MatrixXd zSz = ZRinv*Z - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMMHenDiag.h:203:54: required from here 203 | VectorXd yPy = Py.transpose() * R.cwiseProduct(Py); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ RemlMM2Mat.h:32:29: required from here 32 | VectorXd I = VectorXd::Ones(NbObs); | ~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM2Mat.h:56:24: required from here 56 | Var = deltaNew * D + I; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:59:33: required from here 59 | Varx = Var_inv.asDiagonal() * X ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ RemlMM2Mat.h:61:24: required from here 61 | logdetVar = Var.array().log().sum(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ RemlMM2Mat.h:61:30: required from here 61 | logdetVar = Var.array().log().sum(); | ~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:67:44: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product >, Eigen::Matrix, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product >, Eigen::Matrix, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:67:92: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:69:72: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’ 63 | template class Diagonal | ^~~~~~~~ RemlMM2Mat.h:69:83: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ RemlMM2Mat.h:69:84: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:72:42: required from here 72 | B = (InvFixed.transpose()*D.asDiagonal() * InvFixed).sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:72:46: required from here 72 | B = (InvFixed.transpose()*D.asDiagonal() * InvFixed).sum(); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:75:70: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:75:87: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ RemlMM2Mat.h:75:91: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21: required from ‘class Eigen::Tridiagonalization >’ 92 | >::type DiagonalReturnType; | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:48:7: required from ‘class Eigen::GeneralizedSelfAdjointEigenSolver >’ 48 | class GeneralizedSelfAdjointEigenSolver : public SelfAdjointEigenSolver<_MatrixType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PrepMat.h:20:49: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21: required from ‘class Eigen::Tridiagonalization >’ 97 | >::type SubDiagonalReturnType; | ^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ 111 | typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:48:7: required from ‘class Eigen::GeneralizedSelfAdjointEigenSolver >’ 48 | class GeneralizedSelfAdjointEigenSolver : public SelfAdjointEigenSolver<_MatrixType> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ PrepMat.h:20:49: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ PrepMat.h:22:143: required from here 22 | return List::create(Rcpp::Named("Diag")=es.eigenvalues(),Rcpp::Named("U")=es.eigenvectors(),Rcpp::Named("Ytilde")=es.eigenvectors().transpose() * Y); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ PrepMat.h:22:148: required from here 22 | return List::create(Rcpp::Named("Diag")=es.eigenvalues(),Rcpp::Named("U")=es.eigenvectors(),Rcpp::Named("Ytilde")=es.eigenvectors().transpose() * Y); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ MLMM2Mat.h:47:41: required from here 47 | Var = SigmaNew(0) * D + SigmaNew(1) * I; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ MLMM2Mat.h:59:64: required from here 59 | VectorXd InvFixed = Var_inv.asDiagonal() * (Y - X*Beta) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ 52 | template class Transpose | ^~~~~~~~~ MLMM2Mat.h:61:104: required from here 61 | LogLik(iteration) = -(NbObs * log(2*M_PI) + logdetVar + logdetU + (Y-X*Beta).transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ MLMM2Mat.h:61:109: required from here 61 | LogLik(iteration) = -(NbObs * log(2*M_PI) + logdetVar + logdetU + (Y-X*Beta).transpose() * InvFixed)/2; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ MLMM.h:59:76: required from here 59 | VectorXd InvFixed = Var_inv.selfadjointView() * (Y - X*Beta); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ All.cpp:80:35: required from here 80 | log_det = ldlt.vectorD().array().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ All.cpp:80:41: required from here 80 | log_det = ldlt.vectorD().array().log().sum(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ All.cpp:132:59: required from here 132 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:132:60: required from here 132 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:135:34: required from here 135 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ All.cpp:141:61: required from here 141 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:141:62: required from here 141 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ 223 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ 103 | template class Block | ^~~~~ All.cpp:161:19: required from here 161 | Block A = x.block(x1,x1,m1,m1); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ All.cpp:175:59: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ All.cpp:184:61: required from here 184 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ All.cpp:184:62: required from here 184 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44: required from ‘struct Eigen::internal::evaluator > >’ 167 | typedef typename PlainObjectType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8: required from ‘struct Eigen::internal::evaluator >’ 273 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8: required from ‘struct Eigen::internal::product_evaluator >, Eigen::Matrix, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>’ 96 | struct product_evaluator, ProductTag, LhsShape, RhsShape> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0> >’ 29 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM.h:64:65: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ RemlMM.h:126:60: required from here 126 | double Alpha = - sqrt(r.squaredNorm()/v.squaredNorm()); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:28: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~^~ RemlMMHen.h:230:186: required from here 230 | SigmaNew[i] = SigmaOld[i] * sqrt((ZPySig.transpose() * Vec).sum()/ ((SigmaOld[NbVar-1]*SigmaOld[NbVar-1] / SigmaOld[i])*(DimG[i+1]-(GinvC.block(Start,Start,DimG[i+1],DimG[i+1]).trace()) ) ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ RemlMM.h:24:20: required from here 24 | Var.setZero(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:244:22: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; RealScalar = double]’ 244 | return m.cwiseAbs().maxCoeff(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ RemlMM.h:113:37: required from here 113 | crit = DiffAbs.lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMMHenDiag.h:36:63: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ RemlMM2Mat.h:77:12: required from here 77 | C = D.dot(Var_inv) - T.trace(); | ~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView, 1>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView, 1>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView, 1>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:17: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:28: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:218:39: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 218 | Base::m_eivec = cholB.matrixL() * Base::m_eivec; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ MLMM2Mat.h:90:44: required from here 90 | Toto(0) = sqrt(InvFixed.dot(D.cwiseProduct(InvFixed))/tracePD); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Map > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Map > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Map > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, 1>, Eigen::Map >, Eigen::Dense>’ 86 | class SolveImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, 1>, Eigen::Map > >’ 62 | class Solve : public SolveImpl::StorageKind> | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:22: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~~~~~~^~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:277: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1613:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 0> >’ 1613 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, -1, -1, false>, 0> >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Diagonal, -1, -1, false>, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Diagonal, -1, -1, false>, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:510:34: required from ‘typename Eigen::internal::traits::Scalar Eigen::MatrixBase::trace() const [with Derived = Eigen::Block, -1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ 510 | return derived().diagonal().sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ RemlMMHen.h:230:186: required from here 230 | SigmaNew[i] = SigmaOld[i] * sqrt((ZPySig.transpose() * Vec).sum()/ ((SigmaOld[NbVar-1]*SigmaOld[NbVar-1] / SigmaOld[i])*(DimG[i+1]-(GinvC.block(Start,Start,DimG[i+1],DimG[i+1]).trace()) ) ) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:43: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:846:33: required from ‘static Derived& Eigen::internal::setIdentity_impl::run(Derived&) [with Derived = Eigen::Map >; bool Big = false]’ 846 | return m = Derived::Identity(m.rows(), m.cols()); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:875:50: required from ‘Derived& Eigen::MatrixBase::setIdentity() [with Derived = Eigen::Map >]’ 875 | return internal::setIdentity_impl::run(derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ All.cpp:81:17: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 81 | xi.setIdentity(); | ~~~~~~~~~~~~~~^~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Inversion.h:19:23: required from here 19 | log_det = logDiag.sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM.h:64:65: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM.h:64:65: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:883:17: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 883 | ActualDstType actualDst(dst); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMMHenDiag.h:36:63: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM2Mat.h:61:36: required from here 61 | logdetVar = Var.array().log().sum(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits::Scalar&) [with _MatrixType = Eigen::Matrix; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView, 1>; typename Eigen::internal::traits::Scalar = double]’ 398 | TriangularViewType& operator/=(const typename internal::traits::Scalar& other) { return *this = derived().nestedExpression() / other; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 455 | mat.template triangularView() /= scale; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ MLMM2Mat.h:61:107: required from here 61 | LogLik(iteration) = -(NbObs * log(2*M_PI) + logdetVar + logdetU + (Y-X*Beta).transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ MLMM2Mat.h:61:107: required from here 61 | LogLik(iteration) = -(NbObs * log(2*M_PI) + logdetVar + logdetU + (Y-X*Beta).transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 0>, -1>’ 56 | template class VectorBlock | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 352 | Block A21(mat,k+1,k,rs,1); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 358 | temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:126:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ 126 | class dense_product_base | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ 42 | class ArrayWrapper : public ArrayBase > | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ RemlMM.h:126:60: required from here 126 | double Alpha = - sqrt(r.squaredNorm()/v.squaredNorm()); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 64 | SmallPanelWidth = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr), | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 78 | gebp_kernel gebp_kernel; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 232 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:186:54: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 186 | cholB.matrixU().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, true>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 233 | gemm_pack_rhs pack_rhs_panel; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:186:54: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 186 | cholB.matrixU().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 451 | subdiag = mat.template diagonal<-1>().real(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:22: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ 39 | template class ArrayBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/../plugins/ArrayCwiseBinaryOps.h:219:1: required from ‘const Eigen::ArrayBase::CmpEQReturnType Eigen::ArrayBase::operator==(const Scalar&) const [with Derived = Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >; CmpEQReturnType = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >; Scalar = double]’ 145 | return this->OP(Derived::PlainObject::Constant(rows(), cols(), s)); \ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, true>, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 379 | ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ 1384 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 1464 | struct unary_evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50: required from ‘bool Eigen::DenseBase::all() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >]’ 84 | && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits::AddCost)) <= EIGEN_UNROLLING_LIMIT | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 387 | ret = ret && (A21.array()==Scalar(0)).all(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, -1, 1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose, -1, 1, true> >; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Block, 1, -1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Derived = Eigen::Block, -1, 1, true>]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMMHenDiag.h:36:63: required from here 36 | for (int i = 0; i < X.rows(); i++) xR.col(i)=X.row(i)*Rinv(i); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHenDiag.h:203:35: required from here 203 | VectorXd yPy = Py.transpose() * R.cwiseProduct(Py); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:69:35: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0> >’ 1626 | typedef typename XprType::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8: required from ‘struct Eigen::internal::evaluator, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >’ 65 | struct evaluator, DiagIndex> > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:69:35: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::DiagonalWrapper >, 1> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::DiagonalWrapper >, 1> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::DiagonalWrapper >, 1> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::DiagonalWrapper >, 1>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:39: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM2Mat.h:72:59: required from here 72 | B = (InvFixed.transpose()*D.asDiagonal() * InvFixed).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM2Mat.h:72:59: required from here 72 | B = (InvFixed.transpose()*D.asDiagonal() * InvFixed).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ RemlMM2Mat.h:77:12: required from here 77 | C = D.dot(Var_inv) - T.trace(); | ~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 155 | pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]’ 164 | gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1), | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 165 | actualPanelWidth, actual_kc, 0, blockBOffset); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix; Rhs = Eigen::Matrix; int Side = 1; int Mode = 1]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Matrix; unsigned int _Mode = 1]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:185:53: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 185 | cholB.matrixL().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 319 | pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2), | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 320 | actualPanelWidth, actual_mc, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 321 | actual_kc, j2); | ~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 2; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 2; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:186:54: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 186 | cholB.matrixU().template solveInPlace(matC); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 370 | * (conj(h) * matA.col(i).tail(remainingSize))); | ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ MLMM2Mat.h:90:44: required from here 90 | Toto(0) = sqrt(InvFixed.dot(D.cwiseProduct(InvFixed))/tracePD); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:132:60: required from here 132 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:141:62: required from here 141 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>; Scalar = float]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Block, -1, -1, false>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:16: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, -1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:72:102: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 72 | typedef blas_data_mapper ResMapper; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 8, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 8, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 92 | gebp_kernel gebp; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::CwiseUnaryOp, const Eigen::Transpose, -1, -1, false> > >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:184:62: required from here 184 | TR.noalias() = TL.selfadjointView()*(-BL.transpose()); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:244:33: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; RealScalar = double]’ 244 | return m.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ RemlMM.h:113:37: required from here 113 | crit = DiffAbs.lpNorm(); | ~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, const Eigen::Block, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1, -1, true>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1, -1, true>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1, -1, true>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, 1, -1, true>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, 1, -1, true>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block >, -1, 1, true>; VectorY = Eigen::Block >, -1, 1, true>; OtherScalar = double]’ 475 | EIGEN_PLAIN_ENUM_MIN(evaluator::Alignment, evaluator::Alignment), | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map >; Eigen::Index = long int]’ 315 | internal::apply_rotation_in_the_plane(x, y, j.transpose()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ 895 | q.applyOnTheRight(k,k+1,rot); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 548 | internal::tridiagonal_qr_step(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false>, 0>; Derived = Eigen::Block, -1, 1, false>]’ 123 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 323 | this->visit(minVisitor); | ~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ 496 | return minCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ 563 | diag.segment(i,n-i).minCoeff(&k); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 460 | m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]’ 162 | pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ 100 | triangular_solve_matrix | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 102 | ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 181 | internal::triangular_solver_selector::type, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 182 | Side, Mode>::run(derived().nestedExpression(), otherCopy); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; _MatrixType = const Eigen::Transpose >; unsigned int _Mode = 2]’ 522 | { return solveInPlace(other); } | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:192:35: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 192 | cholB.matrixU().solveInPlace(Base::m_eivec); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ 79 | CoeffReadCost = internal::evaluator::CoeffReadCost | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 501 | return maxCoeff(index); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 325 | mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = double]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = double]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = double]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:135:34: required from here 135 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = double]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = double]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = double]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = double]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = double]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:135:34: required from here 135 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = double]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = double]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = double]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:135:34: required from here 135 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:100:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 100 | pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:106:17: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 106 | pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = float; RhsScalar = float; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 8; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = float]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:113:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 113 | gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc, | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 114 | (std::min)(size,i2), alpha, -1, -1, 0, 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:155:52: required from ‘void Eigen::internal::tribb_kernel::operator()(ResScalar*, Index, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = float; RhsScalar = float; Index = long int; int mr = 8; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int ResInnerStride = 1; int UpLo = 2; ResScalar = float]’ 155 | Matrix buffer((internal::constructor_without_unaligned_array_assert())); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:116:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = float; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = float; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 2; int Version = 0; ResScalar = float]’ 116 | sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM.h:64:65: required from here 64 | LogLik(iteration) = -(logdetxVarx + logdetVar + Y.transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true>, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:67:39: required from here 67 | VectorXd VecMMEz = RinvZ.transpose() * Y; | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Func = Eigen::internal::scalar_max_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:448:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 448 | return derived().redux(Eigen::internal::scalar_max_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 466 | return maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 453 | RealScalar scale = mat.cwiseAbs().maxCoeff(); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 93 | essential = tail / (c0 - beta); | ~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:44: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23: required from ‘static void Eigen::internal::selfadjoint_rank2_update_selector::run(Scalar*, Index, const UType&, const VType&, const Scalar&) [with Scalar = double; Index = long int; UType = Eigen::Block, -1, 1, true>, -1, 1, false>; VType = Eigen::Block, -1, 1, false>]’ 34 | (numext::conj(alpha) * numext::conj(u.coeff(i))) * v.tail(size-i) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 35 | + (alpha * numext::conj(v.coeff(i))) * u.tail(size-i); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:87:10: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > > >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:137:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Transpose, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Rhs = Eigen::Matrix; int Option = 0; Scalar = double]’ 137 | return internal::evaluator(derived()).coeff(0,0); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ MLMM2Mat.h:61:107: required from here 61 | LogLik(iteration) = -(NbObs * log(2*M_PI) + logdetVar + logdetU + (Y-X*Beta).transpose() * InvFixed)/2; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ MLMM.h:59:63: required from here 59 | VectorXd InvFixed = Var_inv.selfadjointView() * (Y - X*Beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘struct Eigen::internal::gemm_pack_rhs, 4, 1, false, false>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:73: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = float; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 374 | gemm_pack_rhs pack_rhs; | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = float]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = float]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 2504 | typedef typename unpacket_traits::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 2505 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 2508 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 2509 | QuarterPacketSize = unpacket_traits::size}; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM.h:102:51: required from here 102 | VectorXd Vec = MatVar.selfadjointView() * InvFixed; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 252 | general_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 253 | ::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 254 | actualLhs.rows(), actualLhs.cols(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 255 | LhsMapper(actualLhs.data(), actualLhs.outerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 256 | RhsMapper(actualRhs.data(), actualRhs.innerStride()), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 257 | dest.data(), 1, | ~~~~~~~~~~~~~~~ 258 | compatibleAlpha); | ~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, true>; Lhs = Eigen::Matrix; Rhs = const Eigen::Block, -1, 1, true>; Scalar = double]’ 385 | internal::gemv_dense_selector::HasUsableDirectAccess) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 388 | >::run(actual_lhs, actual_rhs, dst, alpha); | ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix]’ 445 | scaleAndAddTo(dst, lhs, rhs, Scalar(1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Block, -1, 1, true>; Dest = Eigen::Block, -1, 1, true>; typename Dest::Scalar = double]’ 296 | dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size()); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 478 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 479 | ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Transpose >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Transpose >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Transpose >; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Transpose >]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, const Eigen::Block, -1, 1, true>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:113:15: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Matrix; Scalar = double]’ 485 | return internal::generic_product_impl | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 486 | ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Matrix]’ 464 | scaleAndAddTo(dst, lhs, rhs, Scalar(-1)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:67:39: required from here 67 | VectorXd VecMMEz = RinvZ.transpose() * Y; | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ 94 | class CwiseUnaryOpImpl | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 55 | class CwiseUnaryOp : public CwiseUnaryOpImpl::StorageKind>, internal::no_assignment_operator | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:40: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:221:28: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 221 | return m.cwiseAbs().sum(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 269 | return internal::lpNorm_selector::run(*this); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 514 | abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:54: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29: required from ‘Eigen::DenseBase::CoeffReturnType Eigen::DenseBase::value() const [with Derived = Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>; CoeffReturnType = double]’ 530 | return derived().coeff(0,0); | ~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 359 | mat.coeffRef(k,k) -= (A10 * temp.head(k)).value(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Map >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Map >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Map >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Map >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Map >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Map >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:9: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:9: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Map >, 2>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Map >, 2> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Map >, 2> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Map >, 2, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl > >, Eigen::Map >, 2, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Map >, 2>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:9: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = true; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:394:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 394 | pack_lhs_transposed(blockA, lhs_transpose.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = double]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:132:60: required from here 132 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:338: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h: In instantiation of ‘void Eigen::internal::symm_pack_lhs::operator()(Scalar*, const Scalar*, Index, Index, Index) [with Scalar = double; Index = long int; int Pack1 = 4; int Pack2_dummy = 2; int StorageOrder = 1]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:402:17: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 402 | pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = double]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:132:60: required from here 132 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:48:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 48 | typedef typename unpacket_traits::type>::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 49 | typedef typename unpacket_traits::type>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 51 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 52 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = double]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = double]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = double]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:135:34: required from here 135 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = true; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:394:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = float; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 394 | pack_lhs_transposed(blockA, lhs_transpose.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = float]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = float]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h: In instantiation of ‘void Eigen::internal::symm_pack_lhs::operator()(Scalar*, const Scalar*, Index, Index, Index) [with Scalar = float; Index = long int; int Pack1 = 8; int Pack2_dummy = 4; int StorageOrder = 1]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:402:17: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = float; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 402 | pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = float]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = float]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:48:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 48 | typedef typename unpacket_traits::type>::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 49 | typedef typename unpacket_traits::type>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 51 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 52 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = float; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 8; int Pack2 = 4; Packet = __vector(4) float; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:411:11: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = float; Index = long int; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1]’ 410 | gemm_pack_lhs() | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 411 | (blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 18; Rhs = Eigen::Transpose, -1, -1, false> >; int RhsMode = 0; Scalar = float]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int ProductTag = 8; Scalar = float]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = float]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 2>; Rhs = Eigen::Transpose, -1, -1, false> >; int Options = 0; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 2>, Eigen::Transpose, -1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:175:60: required from here 175 | BL.noalias() = BR.selfadjointView() * B.transpose(); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = float]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:295:12: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 291 | internal::general_matrix_matrix_triangular_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 295 | ::run(size, depth, | ~~~~~^~~~~~~~~~~~~ 296 | &actualLhs.coeffRef(SkipDiag&&(UpLo&Lower)==Lower ? 1 : 0,0), actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 297 | &actualRhs.coeffRef(0,SkipDiag&&(UpLo&Upper)==Upper ? 1 : 0), actualRhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 298 | mat.data() + (SkipDiag ? (bool(IsRowMajor) != ((UpLo&Lower)==Lower) ? mat.innerStride() : mat.outerStride() ) : 0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 299 | mat.innerStride(), mat.outerStride(), actualAlpha, blocking); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:337: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Matrix; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM.h:102:51: required from here 102 | VectorXd Vec = MatVar.selfadjointView() * InvFixed; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 62 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 63 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 1>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:67:39: required from here 67 | VectorXd VecMMEz = RinvZ.transpose() * Y; | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose > >, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Transpose >; Rhs = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHenDiag.h:203:35: required from here 203 | VectorXd yPy = Py.transpose() * R.cwiseProduct(Py); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::DiagonalWrapper >, 1> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:64: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix]’ 251 | dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 124 | generic_product_impl::evalTo(m_result, xpr.lhs(), xpr.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product >, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 35 | EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:363:58: required from ‘Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; XprType = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 363 | explicit redux_evaluator(const XprType &xpr) : Base(xpr) {} | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Product >, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ RemlMM2Mat.h:72:59: required from here 72 | B = (InvFixed.transpose()*D.asDiagonal() * InvFixed).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ 369 | typedef typename nested_eval::type LhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ 178 | generic_product_impl::subTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: required from ‘void Eigen::LDLT::_solve_impl_transposed(const RhsType&, DstType&) const [with bool Conjugate = true; RhsType = Eigen::Map >; DstType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 599 | dst.row(i) /= vecD(i); | ~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:569:31: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:9: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:166: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68: required from ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ 89 | Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Matrix; Scalar = double]’ 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int ProductTag = 7; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM.h:102:51: required from here 102 | VectorXd Vec = MatVar.selfadjointView() * InvFixed; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 500 | return first_aligned::alignment>(array, size); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = true; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:394:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]’ 394 | pack_lhs_transposed(blockA, lhs_transpose.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Matrix; int RhsMode = 0; Scalar = double]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:61:49: required from here 61 | MatrixXd RinvX = Rinv.selfadjointView() * X; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2256 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2258 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2259 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2298 | PacketBlock kernel_half; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2304 | PacketBlock kernel_quarter; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h: In instantiation of ‘void Eigen::internal::symm_pack_lhs::operator()(Scalar*, const Scalar*, Index, Index, Index) [with Scalar = double; Index = long int; int Pack1 = 4; int Pack2_dummy = 2; int StorageOrder = 0]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:402:17: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1]’ 402 | pack_lhs(blockA, &lhs(k2,k2), lhsStride, actual_kc, actual_mc); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:530:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Matrix; int RhsMode = 0; Scalar = double]’ 523 | internal::product_selfadjoint_matrix::Flags &RowMajorBit) ? RowMajor : ColMajor, LhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 525 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(LhsIsUpper,bool(LhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 526 | EIGEN_LOGICAL_XOR(RhsIsUpper,internal::traits::Flags &RowMajorBit) ? RowMajor : ColMajor, RhsIsSelfAdjoint, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 527 | NumTraits::IsComplex && EIGEN_LOGICAL_XOR(RhsIsUpper,bool(RhsBlasTraits::NeedToConjugate)), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 528 | internal::traits::Flags&RowMajorBit ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 529 | Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 530 | ::run( | ~~~~~^ 531 | lhs.rows(), rhs.cols(), // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 532 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 533 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 534 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 535 | actualAlpha, blocking // alpha | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 536 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int ProductTag = 8; Scalar = double]’ 805 | selfadjoint_product_impl::run(dst, lhs.nestedExpression(), rhs, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, 1>, Eigen::Matrix, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::SelfAdjointView, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:61:49: required from here 61 | MatrixXd RinvX = Rinv.selfadjointView() * X; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:48:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 48 | typedef typename unpacket_traits::type>::half HalfPacket; | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 49 | typedef typename unpacket_traits::type>::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:49:114: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 51 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:51:58: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 52 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:52:64: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::Matrix, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1638:27: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Diagonal, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:69:35: required from here 69 | VectorXd Pdiag = Var_inv - (Varx * xVarx_inv * Varx.transpose()).diagonal(); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 564 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:730:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 2>, Eigen::internal::IndexBased, float>’ 730 | struct unary_evaluator, IndexBased> | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 2> >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:813:20: required from ‘void Eigen::internal::call_triangular_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with int Mode = 2; bool SetOpposite = false; DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = assign_op]’ 813 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:865:61: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::assign_op]’ 865 | call_triangular_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:575:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:272:50: required from ‘static void Eigen::general_product_to_triangular_selector::run(MatrixType&, const ProductType&, const typename MatrixType::Scalar&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; int UpLo = 2; typename MatrixType::Scalar = float]’ 272 | mat.template triangularView().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:310:122: required from ‘Eigen::TriangularView& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::_assignProduct(const ProductType&, const Scalar&, bool) [with ProductType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; Scalar = float]’ 310 | general_product_to_triangular_selector::InnerSize==1>::run(derived().nestedExpression().const_cast_derived(), prod, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:993:23: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op::Scalar>, Eigen::internal::Dense2Triangular>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op::Scalar>&) [with DstXprType = Eigen::TriangularView, -1, -1, false>, 2>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Scalar = float; SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; typename Eigen::Product::Scalar = float]’ 993 | dst._assignProduct(src, Scalar(-1), true); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::TriangularView, -1, -1, false>, 2>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:389:41: required from ‘Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator-=(const Eigen::DenseBase&) [with Other = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2; TriangularViewType = Eigen::TriangularView, -1, -1, false>, 2>]’ 389 | internal::call_assignment_no_alias(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All.cpp:178:34: required from here 178 | A.triangularView() -= B*BL; // on ne calcule que le triangle supérieur car on n'utilise pas l'autre | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>; U = Eigen::Block >, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block >, -1, 1, false>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:35:38: required from here 35 | MatrixXd xRx = X.transpose() * Rinv * X; | ~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:67:39: required from here 67 | VectorXd VecMMEz = RinvZ.transpose() * Y; | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:37:51: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; ResScalar = double]’ 37 | return a.template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Matrix; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:25:25: required from here 25 | MatrixXd Varx = VarInv * X; | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:98:46: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double; typename Eigen::internal::traits::Scalar = double]’ 98 | return numext::real((*this).cwiseAbs2().sum()); | ~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Scalar&, RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; Scalar = double; RealScalar = double]’ 78 | RealScalar tailSqNorm = size()==1 ? RealScalar(0) : tail.squaredNorm(); | ~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:46:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, Eigen::SelfAdjointView, 1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Product >, Eigen::Matrix, 0>; ProductType = Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 0>, const Eigen::Product >, Eigen::SelfAdjointView, 1>, 0>, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:64:37: required from here 64 | MatrixXd zSz = Z.transpose()*RinvZ - xRinvZ.transpose() * xRx_inv.selfadjointView() * xRinvZ; | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:67:39: required from here 67 | VectorXd VecMMEz = RinvZ.transpose() * Y; | ~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 449 | tridiagonalization_inplace(mat, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ 59 | call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ 361 | A21.noalias() -= A20 * temp.head(k); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51: required from ‘Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 526 | m_info = internal::ldlt_inplace::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:137:14: required from ‘Eigen::LDLT::LDLT(Eigen::EigenBase&) [with InputType = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 137 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ All.cpp:78:18: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 78 | LDLT ldlt(x); | ^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = div_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, 1, -1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, 1, -1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = div_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, 1, -1, false>; Scalar = double]’ 41 | internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >; Func = assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map >; Src = Eigen::Solve, 1>, Eigen::Map > >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Solve, 1>, Eigen::Map > >; Derived = Eigen::Map >]’ 66 | internal::call_assignment(derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:634:9: required from ‘bool Eigen::LDLT::solveInPlace(Eigen::MatrixBase&) const [with Derived = Eigen::Map >; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 634 | bAndX = this->solve(bAndX); | ~~~~~~^~~~~~~~~~~~~~~~~~~~ All.cpp:82:20: required from ‘void chol_inverse(Eigen::MatrixBase&, Eigen::MatrixBase&, double&) [with T1 = Eigen::Map >; T2 = Eigen::Map >]’ 82 | ldlt.solveInPlace(xi); | ~~~~~~~~~~~~~~~~~^~~~ All.cpp:91:15: required from here 91 | chol_inverse(x, xi, log_det); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Transpose >; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, 1, -1, false>; U = Eigen::Block, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheRight(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 169 | this->col(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 131 | this->row(0) -= tau * tmp; | ~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Scalar = double]’ 132 | bottom.noalias() -= tau * essential * tmp; | ~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ 457 | dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> > >’ 38 | >::type Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, const Eigen::Product, Eigen::Matrix, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMMHen.h:136:29: required from here 136 | Residual = Y - X*Beta - Z*Uhat; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:150:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 150 | Matrix triangularBuffer(a); | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81: required from ‘class Eigen::DenseBase, 0> >’ 179 | typedef typename internal::find_best_packet::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; int LhsStorageOrder = 1; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 153 | triangularBuffer.diagonal().setZero(); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:218:21: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 218 | Base::m_eivec = cholB.matrixL() * Base::m_eivec; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ 63 | template class Diagonal | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:218:21: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 218 | Base::m_eivec = cholB.matrixL() * Base::m_eivec; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75: required from ‘const Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Lhs>::Scalar = double; typename Eigen::Product::Lhs = Eigen::Transpose >; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::Product::Rhs = Eigen::Matrix; CoeffReturnType = double; Eigen::Index = long int]’ 606 | return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 1; Eigen::Index = long int]’ 654 | m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col)); | ~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:26:33: required from here 26 | MatrixXd xVarx = X.transpose() * Varx; | ~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:224:29: required from ‘static void Eigen::internal::assignment_from_xpr_op_product::run(DstXprType&, const SrcXprType&, const InitialFunc&) [with SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; InitialFunc = Eigen::internal::assign_op; DstXprType = Eigen::Matrix; OtherXpr = Eigen::Matrix; ProductType = Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0>; Func1 = Eigen::internal::assign_op; Func2 = Eigen::internal::sub_assign_op]’ 224 | call_assignment_no_alias(dst, src.rhs(), Func2()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::SelfAdjointView, 1>, 0>, Eigen::Transpose >, 0> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM1Mat.h:30:22: required from here 30 | MatrixXd P = VarInv - Varx * xVarx_inv.selfadjointView() * Varx.transpose() ; | ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ 408 | { return llt_inplace::blocked(m)==-1; } | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42: required from ‘Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 456 | bool ok = Traits::inplace_decomposition(m_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Cholesky/LLT.h:109:14: required from ‘Eigen::LLT::LLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ 109 | compute(matrix.derived()); | ~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:175:19: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 175 | LLT cholB(matB); | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 73 | triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:346:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]’ 346 | pack_rhs_panel(blockB+j2*actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ 347 | rhs.getSubMapper(actual_k2+panelOffset, actual_j2), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 348 | panelLength, actualPanelWidth, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 349 | actual_kc, panelOffset); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:443:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Matrix; Rhs = const Eigen::Matrix; typename Dest::Scalar = double]’ 438 | internal::product_triangular_matrix_matrix::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 441 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 442 | (internal::traits::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 443 | ::run( | ~~~~~^ 444 | stripedRows, stripedCols, stripedDepth, // sizes | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 445 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 446 | &rhs.coeffRef(0,0), rhs.outerStride(), // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 447 | &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(), // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 448 | actualAlpha, blocking | ~~~~~~~~~~~~~~~~~~~~~ 449 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; int ProductTag = 8; Scalar = double]’ 783 | triangular_product_impl::run(dst, lhs, rhs.nestedExpression(), alpha); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]’ 361 | { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); } | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::TriangularView, 1>; Derived = Eigen::internal::generic_product_impl, Eigen::TriangularView, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]’ 349 | { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); } | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, Eigen::Product >, Eigen::Matrix, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ 372 | typedef typename plain_matrix_type_dense::XprKind, evaluator::Flags>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ 370 | typedef typename nested_eval::type RhsNested; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ 43 | call_assignment_no_alias(m_expression, other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ 60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp >::type, internal::no_assignment_operator | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Scalar = double]’ 347 | return derived() = Constant(rows(), cols(), val); | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ 548 | return setConstant(Scalar(0)); | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:218:21: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 218 | Base::m_eivec = cholB.matrixL() * Base::m_eivec; | ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 142 | EIGEN_STATIC_ASSERT(internal::evaluator::Flags & LinearAccessBit, | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::operator()(Eigen::Index) const [with Derived = Eigen::Block, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long int]’ 182 | return coeff(index); | ~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 63 | triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint() | ~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::VectorBlock, -1>]’ 92 | if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ 399 | apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = add_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ 177 | call_assignment(derived(), other.derived(), internal::add_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Transpose, -1, 1, false> >; Func = generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ 280 | func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::TriangularView, 1>, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::TriangularView, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:198:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 198 | matC = matC * cholB.matrixL(); | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, 2>, Eigen::Matrix, 0>]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, 2>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:199:10: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 199 | matC = cholB.matrixU() * matC; | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:120:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ 120 | class dense_product_base | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:152:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ 152 | class ProductImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ 71 | class Product : public ProductImpl<_Lhs,_Rhs,Option, | ^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:493:45: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 1>, Eigen::Transpose >, 0>, Eigen::DiagonalWrapper >, 1>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ 423 | : Base(other.derived()) | ^ RemlMM2Mat.h:75:89: required from here 75 | MatrixXd T = xVarx_inv.selfadjointView() * Varx.transpose() * D.asDiagonal() * Varx; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense >, Eigen::Matrix, 0>, -1, 1, true, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, Eigen::Matrix, 0>, -1, 1, true, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block, -1, 1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1, -1, true> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, 1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, 1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, 1, -1, true>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >, 1, -1, true> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:23: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, 1, -1, false>; U = Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ 194 | ::run(rhs.transpose(),lhs.transpose(), dstT, alpha); | ~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >, 1, -1, true> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 341 | dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ 172 | template class BlockImpl_dense | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ 154 | class BlockImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ 103 | template class Block | ^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, Eigen::Matrix, 0>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, Eigen::Matrix, 0>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 332 | Base::template _init1(x); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if::value, void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Func = assign_op; typename enable_if::value, void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 850 | typename plain_matrix_type::type tmp(src); | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >]’ 836 | call_assignment(dst, src, internal::assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; Derived = Eigen::Matrix]’ 779 | internal::call_assignment(this->derived(), other.derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product >, Eigen::Matrix, 1>, const Eigen::Product, Eigen::Product, Eigen::Product >, Eigen::Matrix, 0>, 0>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 225 | return Base::_set(other); | ~~~~~~~~~~^~~~~~~ RemlMM2Mat.h:67:94: required from here 67 | InvFixed = Var_inv.asDiagonal() * Y - Varx * ( xVarx_inv * ( Varx.transpose() * Y ) ) ; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ 94 | template class Map | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:119:18: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ 118 | template class TransposeImpl | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 52 | template class Transpose | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:56: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:512:34: required from ‘static void Rcpp::Vector::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object >, Eigen::Matrix, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >; SEXP = SEXPREC*; R_xlen_t = long int]’ 512 | replace_element__dispatch( typename traits::is_named::type(), | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 513 | it, names, index, u ) ; | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29: recursively required from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object >; TArgs = {Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >]’ 1170 | replace_element_impl(++it, names, ++index, args...); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29: required from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object >; TArgs = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >]’ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1146:29: required from ‘static Rcpp::Vector Rcpp::Vector::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 1146 | replace_element_impl(it, names, index, t...); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1126:32: required from ‘static Rcpp::Vector Rcpp::Vector::create(const T& ...) [with T = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 1126 | return create__dispatch( typename traits::integral_constant::value | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1128 | >::type(), t... ) ; | ~~~~~~~~~~~~~~~~~ PrepMat.h:22:21: required from here 22 | return List::create(Rcpp::Named("Diag")=es.eigenvalues(),Rcpp::Named("U")=es.eigenvectors(),Rcpp::Named("Ytilde")=es.eigenvectors().transpose() * Y); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Transpose >; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ 148 | generic_product_impl::evalTo(dst, src.lhs(), src.rhs()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Func = assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 797 | internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ 594 | _set_noalias(other); | ~~~~~~~~~~~~^~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ 423 | : Base(other.derived()) | ^ RemlMMHen.h:202:37: required from here 202 | VectorXd yPy = Py.transpose() * R * Py; | ~~~~~~~~~~~~~~~~~~~^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, 1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false> >, 1, -1, true>; U = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:357:7: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ 357 | class redux_evaluator : public internal::evaluator<_XprType> | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:414:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 414 | ThisEvaluator thisEval(derived()); | ^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ 481 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ 37 | template class MapBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ 329 | class BlockImpl_dense | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ 148 | class CwiseBinaryOpImpl | ^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ 77 | class CwiseBinaryOp : | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ 462 | dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]’ 137 | res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 1043 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ 311 | CoeffReadCost = evaluator::CoeffReadCost, | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 90 | struct evaluator : public unary_evaluator | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: [ skipping 36 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op]’ 780 | DstEvaluatorType dstEvaluator(dst); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op]’ 890 | Assignment::run(actualDst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename enable_if<(! evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op; typename enable_if<(! evaluator_assume_aliasing::value), void*>::type = void*; typename evaluator_traits::Shape = Eigen::DenseShape]’ 858 | call_assignment_no_alias(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ 164 | call_assignment(derived(), other.derived(), internal::sub_assign_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:243:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op; Evaluator = Eigen::internal::redux_evaluator, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Scalar = double]’ 243 | const Index alignedStart = internal::first_default_aligned(xpr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 418 | return internal::redux_impl::run(thisEval, func, derived()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Redux.h:463:25: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ 463 | return derived().redux(Eigen::internal::scalar_sum_op()); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:50:63: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block >, 1, -1, true>; U = Eigen::Block, -1, 1, true>; ResScalar = double]’ 50 | return a.transpose().template binaryExpr(b).sum(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Block >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double; typename Eigen::internal::traits::Scalar = double; typename Eigen::internal::traits::Scalar = double]’ 84 | return internal::dot_nocheck::run(*this, other); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:512:34: required from ‘static void Rcpp::Vector::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object >, Eigen::Matrix, 0> >; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >; SEXP = SEXPREC*; R_xlen_t = long int]’ 512 | replace_element__dispatch( typename traits::is_named::type(), | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 513 | it, names, index, u ) ; | ~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29: recursively required from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object >; TArgs = {Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >]’ 1170 | replace_element_impl(++it, names, ++index, args...); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29: required from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object >; TArgs = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; iterator = Rcpp::internal::Proxy_Iterator >]’ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1146:29: required from ‘static Rcpp::Vector Rcpp::Vector::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage; Rcpp::traits::true_type = Rcpp::traits::integral_constant]’ 1146 | replace_element_impl(it, names, index, t...); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1126:32: required from ‘static Rcpp::Vector Rcpp::Vector::create(const T& ...) [with T = {Rcpp::traits::named_object >, Rcpp::traits::named_object >, Rcpp::traits::named_object >, Eigen::Matrix, 0> >}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ 1126 | return create__dispatch( typename traits::integral_constant::value | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1128 | >::type(), t... ) ; | ~~~~~~~~~~~~~~~~~ PrepMat.h:22:21: required from here 22 | return List::create(Rcpp::Named("Diag")=es.eigenvalues(),Rcpp::Named("U")=es.eigenvectors(),Rcpp::Named("Ytilde")=es.eigenvectors().transpose() * Y); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 654 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ 100 | struct evaluator | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ 739 | CoeffReadCost = int(evaluator::CoeffReadCost) + int(evaluator::CoeffReadCost) + int(functor_traits::Cost), | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ 722 | struct evaluator > | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = sub_assign_op]’ 774 | SrcEvaluatorType srcEvaluator(src); | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ 954 | call_dense_assignment_loop(dst, src, func); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49: [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix]’ 453 | mat = HouseholderSequenceType(mat, hCoeffs.conjugate()) | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 454 | .setLength(mat.rows() - 1) | ~~~~~~~~~~~~~~~~~~~~~~~~~~ 455 | .setShift(1); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ 434 | tridiagonalization_inplace_selector::run(mat, diag, subdiag, hcoeffs, extractQ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ 458 | internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:188:18: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver& Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::compute(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 188 | Base::compute(matC, computeEigVecs ? ComputeEigenvectors : EigenvaluesOnly ); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Eigenvalues/GeneralizedSelfAdjointEigenSolver.h:110:7: required from ‘Eigen::GeneralizedSelfAdjointEigenSolver<_MatrixType>::GeneralizedSelfAdjointEigenSolver(const MatrixType&, const MatrixType&, int) [with _MatrixType = Eigen::Matrix; MatrixType = Eigen::Matrix]’ 110 | compute(matA, matB, options); | ^~~~~~~ PrepMat.h:20:54: required from here 20 | GeneralizedSelfAdjointEigenSolver es(K1,K2); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 1071 | PacketAlignment = unpacket_traits::alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Matrix]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In static member function ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; int LhsMode = 17; Rhs = Eigen::Product >, Eigen::Matrix, 0>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 227 | internal::selfadjoint_matrix_vector_product::Flags&RowMajorBit) ? RowMajor : ColMajor, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 228 | int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 229 | ( | ^ 230 | lhs.rows(), // size | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 231 | &lhs.coeffRef(0,0), lhs.outerStride(), // lhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 232 | actualRhsPtr, // rhs info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 233 | actualDestPtr, // result info | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 234 | actualAlpha // scale factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 235 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:41:6: note: by argument 4 of type ‘const double*’ to ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’ declared here 41 | void selfadjoint_matrix_vector_product::run( | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:341: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h: In function ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: warning: ‘result’ may be used uninitialized [-Wmaybe-uninitialized] 327 | internal::triangular_matrix_vector_product | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 328 | | ~~~~~~~~~ 332 | ::run(actualLhs.rows(),actualLhs.cols(), | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 333 | actualLhs.data(),actualLhs.outerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 334 | actualRhsPtr,1, | ~~~~~~~~~~~~~~~ 335 | dest.data(),dest.innerStride(), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 336 | actualAlpha); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:105:24: note: by argument 5 of type ‘const double*’ to ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0]’ declared here 105 | EIGEN_DONT_INLINE void triangular_matrix_vector_product | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from RcppExports.cpp:5: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:36:101: required from here 36 | rcpp_result_gen = Rcpp::wrap(MM_ML2MatRcpp(Y, X, U, logdetU, D, Init, MaxIter, CritVar, CritLogLik)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:36:101: required from here 36 | rcpp_result_gen = Rcpp::wrap(MM_ML2MatRcpp(Y, X, U, logdetU, D, Init, MaxIter, CritVar, CritLogLik)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ RcppExports.cpp:36:101: required from here 36 | rcpp_result_gen = Rcpp::wrap(MM_ML2MatRcpp(Y, X, U, logdetU, D, Init, MaxIter, CritVar, CritLogLik)); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o MM4LMM.so All.o RcppExports.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/Rtmp2wYFz6/R.INSTALL36018f59226846/MM4LMM/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-MM4LMM/00new/MM4LMM/libs ** R ** data ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (MM4LMM) * installing *source* package ‘eulerr’ ... ** this is package ‘eulerr’ version ‘7.0.2’ ** package ‘eulerr’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpvuTLDJ/R.INSTALL3609647cf15c55/eulerr/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c compute-areas.cpp -o compute-areas.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c conic.cpp -o conic.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c ellipse.cpp -o ellipse.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c helpers.cpp -o helpers.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c intersections.cpp -o intersections.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c loss.cpp -o loss.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c optim_final.cpp -o optim_final.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c optim_init.cpp -o optim_init.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c point.cpp -o point.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c solve_cubic.cpp -o solve_cubic.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppArmadillo/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c utils.cpp -o utils.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o eulerr.so RcppExports.o compute-areas.o conic.o ellipse.o helpers.o intersections.o loss.o optim_final.o optim_init.o point.o solve_cubic.o utils.o -llapack -L/home/hornik/tmp/R-d-gcc-15/lib -lRblas -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpvuTLDJ/R.INSTALL3609647cf15c55/eulerr/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-eulerr/00new/eulerr/libs ** R ** data *** moving datasets to lazyload DB ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (eulerr) * installing *source* package ‘castor’ ... ** this is package ‘castor’ version ‘1.8.3’ ** package ‘castor’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-1) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpjkLOV2/R.INSTALL36016f6f92232d/castor/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c RcppExports.cpp -o RcppExports.o g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c STMathExpression.cpp -o STMathExpression.o STMathExpression.cpp:10: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 10 | #pragma mark - STMathExpression.cpp:11: warning: ignoring ‘#pragma mark String’ [-Wunknown-pragmas] 11 | #pragma mark String manipulations STMathExpression.cpp:12: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 12 | #pragma mark STMathExpression.cpp:65: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 65 | #pragma mark - STMathExpression.cpp:66: warning: ignoring ‘#pragma mark MathExpression’ [-Wunknown-pragmas] 66 | #pragma mark MathExpression STMathExpression.cpp:67: warning: ignoring ‘#pragma mark ’ [-Wunknown-pragmas] 67 | #pragma mark STMathExpression.cpp: In static member function ‘static long int MathExpression::splitBinaryOperatorInverseOrder(const std::string&, long int, long int, const std::vector&)’: STMathExpression.cpp:256:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 256 | else if(j==string::npos){ if(!STMath_isReal(expression.substr(0,i-1))) return getLeftMostOfPlusMinusOperatorChain(expression,start,i); } | ~^~~~~~~~~~~~~~ STMathExpression.cpp: In member function ‘std::string MathExpression::parseBlock(const std::string&, long int, long int, const std::vector&, const std::map, long int>&, const std::map, long int>&, long int, bool)’: STMathExpression.cpp:313:105: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 313 | if(isWhiteSpace(expression,start,end)) return "Missing "+(start==0 ? "leading expression" : (end==expression.size()-1 ? "trailing expression" : "expression between '"+expression.substr(0,start)+"' and '"+expression.substr(end+1)+"'")); | ~~~^~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:359:37: warning: comparison of integer expressions of different signedness: ‘const long int’ and ‘const std::__cxx11::basic_string::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if((rightMostBracket==string::npos) || (rightMostBracket&)’: STMathExpression.cpp:463:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 463 | for(long i=0; i&)’: STMathExpression.cpp:500:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::__cxx11::basic_string::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 500 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 953 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 957 | for(long i=0; i&) const’: STMathExpression.cpp:981:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 981 | if(variableIDs[i]>=x.size()){ variableValues[i]=0; } STMathExpression.cpp: In member function ‘double MathExpression::operator()(const std::vector&, long int, ...) const’: STMathExpression.cpp:1044:34: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘long unsigned int’ [-Wsign-compare] 1044 | if(variableIDs[i]>=x.size()+numberOfAdditionalVariables){ variableValues[i]=0; } STMathExpression.cpp:1045:39: warning: comparison of integer expressions of different signedness: ‘const __gnu_cxx::__alloc_traits, long int>::value_type’ {aka ‘const long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1045 | else if(variableIDs[i] >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1195 | for(long i=0; i >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1202 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1258 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1269 | for(long n=0; n&)’: STMathExpression.cpp:1378:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1378 | for(long i=0; i&) const [with TYPE = long int; std::ostream = std::basic_ostream]’: STMathExpression.cpp:961:14: required from here 961 | printTuple(stream, stackArguments[i]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~ STMathExpression.cpp:1227:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1227 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 334 | for(long i=0; i >&)’: phylogenetics_cpp_routines.cpp:357:46: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 357 | while((max_Nparts<0) || (parts.size()::size_type’ {aka ‘const long unsigned int’} [-Wsign-compare] 359 | if(pos==string::npos) break; | ~~~^~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:363:43: warning: comparison of integer expressions of different signedness: ‘std::vector >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 363 | if((max_Nparts<0) || (parts.size()&, long int)’: phylogenetics_cpp_routines.cpp:460:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 460 | for(long n=start; n&)’: phylogenetics_cpp_routines.cpp:707:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 707 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:722:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 722 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:740:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 740 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:747:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 747 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 776 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:807:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 807 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:812:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 812 | for(long i=0; i&, double)’: phylogenetics_cpp_routines.cpp:819:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 819 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:829:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 829 | for(long i=0; i&)’: phylogenetics_cpp_routines.cpp:882:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 882 | for(long i=0; i >&, const std::vector >&)’: phylogenetics_cpp_routines.cpp:902:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 902 | for(long level=0; level, long int>::value_type’ {aka ‘long int’} and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 948 | if(pool2list[pool_index]==list2pool.size()-1){ phylogenetics_cpp_routines.cpp: In function ‘long int get_nearest_index(const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:976:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 976 | for(long i=0; i<(haystack.size()-1); ++i){ | ~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List dense_binary_matrix_row2column_major_CPP(long int, long int, const Rcpp::List&, bool)’: phylogenetics_cpp_routines.cpp:997:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 997 | for(long i=0; i >&, const lvector&, const dvector&, double, long int)’: phylogenetics_cpp_routines.cpp:1599:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1599 | for(long i=0; i&, const std::vector&, long int, const std::vector&, const std::string&, long int)’: phylogenetics_cpp_routines.cpp:2820:30: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2820 | for(long t=0, g=-1; t&, double, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3260:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3260 | for(long t=0, g=0; t&, const std::vector&, long int, const std::vector&)’: phylogenetics_cpp_routines.cpp:3287:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3287 | for(long t=0, g=0, p; t >&, const std::vector >&, const std::vector >&, double)’: phylogenetics_cpp_routines.cpp:5835:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector >::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5835 | for(long r=0; r&, const double&, const std::vector&, const long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:5915:19: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5915 | for(k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 5947 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8860 | for(long ng=0, og=0; ng::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 8897 | for(long ng=0, og=0; ng&, std::vector, bool, bool)’: phylogenetics_cpp_routines.cpp:9941:56: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9941 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 9967 | for(long k=0; k::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 10929 | for(long t=0; t&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:12662:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12662 | for(long q=0; q&, const std::vector&, const tree_traversal&, dvector&)’: phylogenetics_cpp_routines.cpp:12791:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12791 | for(long q=0, clade; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:12897:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12897 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12928 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13016:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13016 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13047 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13075 | for(long q=0; q&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13144:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13144 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13174 | for(long q=0; q&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13266:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13266 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13286 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13397:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13397 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13417 | for(long q=0; q&, const std::vector&, long int, double, double, bool, long int, bool)’: phylogenetics_cpp_routines.cpp:13624:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13624 | for(long q=0, clade; q&, const std::vector&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:13732:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13732 | for(long q=0, clade; q&, const std::vector&, double, double, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:13889:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13889 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13913 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 13914 | for(long c=0; c&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:14066:45: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14066 | for(long q=1, clade, pnode, cnode; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:14324:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14324 | for(long q=0, clade; q&, long int, long int, long int)’: phylogenetics_cpp_routines.cpp:14493:16: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14493 | while(k&, long int)’: phylogenetics_cpp_routines.cpp:14550:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14550 | while(queue_pointer::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14567 | for(long c=0, clade; c&, const std::vector&, long int)’: phylogenetics_cpp_routines.cpp:14615:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14615 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:15174:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15174 | for(long c=0; c::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15191 | for(long q=0; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16015:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16015 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16038 | for(long q=1, cnode, pnode; q, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16145:29: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16145 | for(long t=0, tip; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16159 | for(long q=1; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16194 | for(long q=1; q&, const std::vector&, double)’: phylogenetics_cpp_routines.cpp:16461:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16461 | for(long q=0; q&, const std::vector&, double, double)’: phylogenetics_cpp_routines.cpp:16571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16571 | for(long q=0; q&, const std::vector&, const std::vector&, bool, bool)’: phylogenetics_cpp_routines.cpp:16911:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16911 | for(long n=0, node; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16921 | for(long n=0, e, pnode, child; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 16985 | for(long q=0, clade, node, absorbing_ancestor, parent, child, e, edge, inedge; q&, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:17082:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17082 | for(long s=0, clade, inedge, node, e; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17105 | for(long q=1, clade, node, inedge, e; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17139 | for(long q=1, clade, inedge; q&, const std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:17475:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17475 | for(long q=0, clade; q&, const std::vector >&, const std::vector >&, const std::string&, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:17954:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17954 | for(long f=0; f >::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 17955 | if(clade_taxonomies_split[fits[f]].size()==max_precision) precise_fits.push_back(fits[f]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List tree_from_placements_CPP(long int, long int, long int, std::vector, std::vector, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:17991:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 17991 | for(long i=0; i&, long int, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18189:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18189 | for(long m=0, Tnode, Rnode; m&, long int, long int, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18419:60: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18419 | for(long fb=0, fa=-1, f; fb relative_to_absolute_node_ages_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18475:44: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18475 | for(long q=1, clade, node, pnode; q propagate_min_ages_upstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18499:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18499 | for(long a=0; a propagate_max_ages_downstream_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&)’: phylogenetics_cpp_routines.cpp:18528:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18528 | for(long a=0; a::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18533 | for(long q=0, clade, node, pnode; q, const std::vector&)’: phylogenetics_cpp_routines.cpp:18595:39: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18595 | for(long q=1, clade, parent; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 18612 | for(long q=0, clade, node; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, bool, std::vector&, std::vector&, std::vector&, double&, double&, double&, double&, long int&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19209:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19209 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, std::vector&, double&, double&, double&, double&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:19522:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 19522 | for(long q=0, dominant_state; q&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20571:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20571 | for(long q=0, parent; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20642:26: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20642 | for(long fc=0; fc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20648 | for(long fc=0; fc&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:20776:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20776 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20795 | for(long q=0; q&, const std::vector&)’: phylogenetics_cpp_routines.cpp:20931:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 20931 | for(long t=0; t&, const std::vector&, const std::vector&, const std::vector&, double, bool, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:21161:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21161 | for(long q=0; q&, const std::vector&, const std::vector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const Rcpp::ComplexVector&, const std::vector&, const std::string&, const std::vector&, bool, bool, double, double, long int, bool)’: phylogenetics_cpp_routines.cpp:21523:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21523 | for(long n=0; n::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21564 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, double, long int, Rcpp::LogicalVector, std::vector, bool)’: phylogenetics_cpp_routines.cpp:21968:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 21968 | for(long q=0, node, clade; q&, std::vector, std::vector)’: phylogenetics_cpp_routines.cpp:22024:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22024 | for(long q=0, node, clade; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22198:42: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22198 | for(long q=0, new_root; q&, const std::vector&, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:22459:30: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22459 | if(node_states.size()>Nnodes) node_states.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22460:39: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22460 | if(node_standard_errors.size()>Nnodes) node_standard_errors.resize(Nnodes); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:22461:29: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 22461 | if(node_CI95s.size()>Nnodes) node_CI95s.resize(Nnodes); | ~~~~~~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericVector apply_BM_parsimony_to_missing_clades_CPP(long int, long int, long int, const std::vector&, Rcpp::LogicalVector, std::vector)’: phylogenetics_cpp_routines.cpp:22502:37: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22502 | for(long q=0, node, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22537 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22556 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22576 | for(long i=0, tip; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22781 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22795 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22887 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22900 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22905 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22925 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22947 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22970 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 22994 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23177 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23190 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23207 | for(long s=0; s::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23229 | for(long s=0; s&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, double, double, double, double, double, double, bool, std::vector >&, std::string&, double&, long int&, MuSSEmodelE&, MuSSEmodelD&, std::vector > >&, std::vector >&)’: phylogenetics_cpp_routines.cpp:23478:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 23478 | for(long a=0; a&, const std::vector&, const std::vector&, std::vector, const std::vector&, double, double, double, double, long int, double, bool)’: phylogenetics_cpp_routines.cpp:24303:40: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 24303 | for(long i=0; i&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26559:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26559 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26639:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26639 | for(long q=0; q&, const std::vector&, double, double, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26721:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26721 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26792:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26792 | for(long q=0; q&, const std::vector&, const std::vector&, const std::vector&, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26872:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26872 | for(long q=0; q&, const std::vector&, const std::vector&, double, bool, bool, bool, long int)’: phylogenetics_cpp_routines.cpp:26964:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 26964 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27076 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27079 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 27085 | if(only_sampled_tips && (sampled_tips.size()::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27122 | for(long new_clade=0; new_clade::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27128 | for(long i=0; i::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27131 | for(long i=0; i&, const std::vector&, const std::vector&, bool, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27217:75: warning: comparison of integer expressions of different signedness: ‘long unsigned int’ and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27217 | while(((max_tips<=0) || ((coalescent ? extant_tips.size() : Ntips)&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::vector&, const std::vector&, const std::vector&, bool, bool, double, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:27432:100: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 27432 | while(((max_tips<=0) || (Ntips::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27618 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27625 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 27632 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, bool, bool, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:28941:34: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28941 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28947 | for(long nc=0; nc::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 28952 | for(long nc=0; nc&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, bool, long int, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:29620:38: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29620 | for(long stip=0; stip&, double, EdgeLengthUnit, double, double, long int, std::vector&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29864:44: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29864 | if(clade2tail_length.size()<=next_clade) clade2tail_length.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29866:42: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29866 | if(clade2tail_time.size()<=next_clade) clade2tail_time.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:29875:41: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 29875 | for(long orphan=0, clade; orphan&, std::vector&, long int&, std::vector&, std::vector&, std::vector&)’: phylogenetics_cpp_routines.cpp:29928:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘long int’ [-Wsign-compare] 29928 | if(clade_heights.size()<=next_clade) clade_heights.resize(next_clade+1); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool generate_gene_tree_in_species_tree_MSC(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, long int&, long int&, long int&, long int&, std::vector&, std::vector&, std::vector&, std::vector&, std::vector&, std::string&)’: phylogenetics_cpp_routines.cpp:29978:64: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29978 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:29979:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29979 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29980:67: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29980 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:29981:65: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 29981 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30007:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30007 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30024 | for(allele=0; allele::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30109 | for(long orphan=0; orphan&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::string&, long int, bool, bool, long int, bool, bool, double, double, bool)’: phylogenetics_cpp_routines.cpp:30263:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30263 | const bool got_population_sizes = (population_sizes.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30264:83: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30264 | const bool got_generation_times = (generation_times.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30265:81: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30265 | const bool got_mutation_rates = (mutation_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30266:80: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30266 | const bool got_allele_counts = (allele_counts.size()==NStips); | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp:30267:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30267 | const bool got_HGT_rates = (HGT_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30268:84: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30268 | const bool got_duplication_rates = (duplication_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30269:85: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 30269 | const bool got_loss_rates = (loss_rates.size()==NSclades); | ~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:30290:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30290 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30297 | for(long q=0, clade; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30400 | for(long l=0, locus, new_locus; l::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 30426 | for(long l=0, locus; l&, const std::vector&, double, double, double, double, dvector&, dvector&)’: phylogenetics_cpp_routines.cpp:31245:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31245 | for(long q=0, parent, child, e, edge; q&, double, double, double, double)’: phylogenetics_cpp_routines.cpp:31361:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31361 | for(long t=1; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31834 | for(long p=0; p&, const std::vector&, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31876:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31876 | for(long d=0; d&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, long int, const std::vector&, double, long int)’: phylogenetics_cpp_routines.cpp:31914:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31914 | for(long d=0; d&)’: phylogenetics_cpp_routines.cpp:32076:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 32076 | for(long p=0; p >::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32557 | if(parts.size()<=distances_column){ | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:32585:56: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 32585 | if((max_Nedges>=0) && (distances.size()>=max_Nedges)) break; | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void multiply_array_with_scalar(ARRAY_TYPE&, double) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:5326:29: required from here 5326 | multiply_array_with_scalar(A,factor); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:580:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 580 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:34: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4927:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4927 | for(long i=0; i]’: phylogenetics_cpp_routines.cpp:5521:77: required from here 5521 | epsilon /= get_norm_L2_of_vector(balances) * get_norm_L2_of_inverted_vector(balances); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ phylogenetics_cpp_routines.cpp:4935:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 4935 | for(long i=0; i&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:8734:48: required from here 8734 | const long NR = (end_c-start_c+1) + vector_sum(dN); | ~~~~~~~~~~^~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i maxError) && (impCount&, const std::vector&, long int, long int, double, bool, bool, REAL_TYPE&, REAL_TYPE&, REAL_TYPE&, long int&) [with REAL_TYPE = double]’: phylogenetics_cpp_routines.cpp:9326:40: required from here 9326 | if(fitLeastSquares_affine_real_scalar(X, logY, start, end, Xshift[n], false, false, A[n], rate[n], RSS, count[n])){ | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:9188:21: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:9188:40: warning: comparison of integer expressions of different signedness: ‘std::vector::size_type’ {aka ‘long unsigned int’} and ‘const long int’ [-Wsign-compare] 9188 | if((x.size()<=end) || (y.size()<=end)) return false; | ~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘std::vector& operator*=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:9760:24: required from here 9760 | Acoeff *= (Ngrid-1.0)/Aend; | ^~~~ phylogenetics_cpp_routines.cpp:3450:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3450 | for(long i=0; i&, std::vector&, std::vector&, std::vector&, bool, const std::string&) [with ARRAY_TYPE = std::vector; std::string = std::__cxx11::basic_string]’: phylogenetics_cpp_routines.cpp:12143:33: required from here 12143 | get_tree_traversal_root_to_tips(Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~ 12144 | Nnodes, | ~~~~~~~ 12145 | Nedges, | ~~~~~~~ 12146 | -1, | ~~~ 12147 | tree_edge, | ~~~~~~~~~~ 12148 | include_tips, | ~~~~~~~~~~~~~ 12149 | false, | ~~~~~~ 12150 | queue, | ~~~~~~ 12151 | node2first_edge, | ~~~~~~~~~~~~~~~~ 12152 | node2last_edge, | ~~~~~~~~~~~~~~~ 12153 | edges, | ~~~~~~ 12154 | false, | ~~~~~~ 12155 | ""); | ~~~ phylogenetics_cpp_routines.cpp:12116:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12116 | while(queue_pointer&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:12801:36: required from here 12801 | const double root_age = vector_max(ages); | ~~~~~~~~~~^~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:13898:14: required from here 13898 | qsortIndices(distances_from_root, chronological_clade_order); | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:1071:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 1071 | for(long n=0; n&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:14197:33: required from here 14197 | const long Nsplits = vector_max(node2child_count); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:770:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 770 | for(long i=0; i&) [with ARRAY_TYPE = std::vector]’: phylogenetics_cpp_routines.cpp:14866:30: required from here 14866 | sort_tree_edges_root_to_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 14867 | Nnodes, | ~~~~~~~ 14868 | Nedges, | ~~~~~~~ 14869 | depth_first_search, | ~~~~~~~~~~~~~~~~~~~ 14870 | root_to_tips, | ~~~~~~~~~~~~~ 14871 | tree_edge, | ~~~~~~~~~~ 14872 | new2old_edge); | ~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14838:36: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14838 | while(queue_pointer&, std::vector&, std::vector&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15102:40: required from here 15102 | get_tree_with_collapsed_monofurcations( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15103 | Nnodes, | ~~~~~~~ 15104 | Nedges, | ~~~~~~~ 15105 | root, | ~~~~~ 15106 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15107 | force_keep_nodes, | ~~~~~~~~~~~~~~~~~ 15108 | tree_edge, | ~~~~~~~~~~ 15109 | edge_length, | ~~~~~~~~~~~~ 15110 | new_tree_edge, | ~~~~~~~~~~~~~~ 15111 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15112 | new2old_node, | ~~~~~~~~~~~~~ 15113 | new_root, | ~~~~~~~~~ 15114 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:14998:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 14998 | for(long fn=0, node; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15012 | for(long q=0; q::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15035 | for(long q=0; q&, std::vector&, std::vector&, long int&, long int&, long int&, long int&, long int&, double&) [with ARRAY_INT = std::vector; ARRAY_DOUBLE = std::vector; lvector = std::vector]’: phylogenetics_cpp_routines.cpp:15714:32: required from here 15714 | get_subtree_with_specific_tips( Ntips, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ 15715 | Nnodes, | ~~~~~~~ 15716 | Nedges, | ~~~~~~~ 15717 | tree_edge, | ~~~~~~~~~~ 15718 | edge_length, | ~~~~~~~~~~~~ 15719 | tips_to_keep, | ~~~~~~~~~~~~~ 15720 | collapse_monofurcations, | ~~~~~~~~~~~~~~~~~~~~~~~~ 15721 | force_keep_root, | ~~~~~~~~~~~~~~~~ 15722 | lvector(), | ~~~~~~~~~~ 15723 | new_tree_edge, | ~~~~~~~~~~~~~~ 15724 | new_edge_length, | ~~~~~~~~~~~~~~~~ 15725 | new2old_clade, | ~~~~~~~~~~~~~~ 15726 | new_root, | ~~~~~~~~~ 15727 | old_stem_edge, | ~~~~~~~~~~~~~~ 15728 | Ntips_kept, | ~~~~~~~~~~~ 15729 | Nnodes_kept, | ~~~~~~~~~~~~ 15730 | Nedges_kept, | ~~~~~~~~~~~~ 15731 | root_shift); | ~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:15572:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15572 | for(long t=0; t::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15575 | for(long fn=0; fn::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 15648 | for(long fn=0, new_clade; fn; ARRAY_TYPE_D = std::vector; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:16941:26: required from here 16941 | get_distances_from_root(Ntips, Nnodes, Nedges, tree_edge, edge_length, traversal, clade_times); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:12742:31: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 12742 | for(long q=0, clade; q&, TYPE2, long int) [with TYPE1 = long int; TYPE2 = long int]’: phylogenetics_cpp_routines.cpp:18421:33: required from here 18421 | fa = find_in_ascending_list(membershipsA[nodeA],f,fa+1); | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:486:28: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 486 | for(long n=start; n operator/(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22770:19: required from here 22770 | shape = initial/initial_mean; | ^~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3532:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3532 | for(long i=0; i operator*(std::vector, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3432:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3432 | for(long i=0; i operator-(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22833:27: required from here 22833 | rateY = YA - currentY*rateS; | ^~~~~ phylogenetics_cpp_routines.cpp:3486:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3486 | for(long i=0; i operator+(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:22942:66: required from here 22942 | candidate_state = previous_state*(1-lambda) + candidate_state*lambda; | ^~~~~~ phylogenetics_cpp_routines.cpp:3459:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3459 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23006:22: required from here 23006 | return contains_nan(state); | ~~~~~~~~~~~~^~~~~~~ phylogenetics_cpp_routines.cpp:865:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 865 | for(long i=0; i& operator*=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23366:32: required from here 23366 | posteriors[node] *= modelD.initial; | ^~~~~~~ phylogenetics_cpp_routines.cpp:3423:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3423 | for(long i=0; i&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23387:30: required from here 23387 | const double S = vector_sum(posteriors[node]); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:692:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 692 | for(long i=0; i& operator/=(std::vector&, double) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23388:23: required from here 23388 | posteriors[node] /= S; | ^ phylogenetics_cpp_routines.cpp:3541:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3541 | for(long i=0; i operator*(std::vector, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23396:56: required from here 23396 | loglikelihood += log(vector_sum(posteriors[root_node]*root_prior)); | ^~~~~~~~~~ phylogenetics_cpp_routines.cpp:3414:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3414 | for(long i=0; i&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:23906:38: required from here 23906 | loglikelihood += log(scalar_product(substem_D,substem_prior)); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:715:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘const long unsigned int’ [-Wsign-compare] 715 | for(long i=0; i& operator-=(std::vector&, const std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24305:83: required from here 24305 | dvector coarse_diversification_rates = lambdas; coarse_diversification_rates -= mus; | ^~~ phylogenetics_cpp_routines.cpp:3504:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3504 | for(long i=0; i abs(std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:24925:48: required from here 24925 | dvector coarse_abs_diversification_rates = abs(coarse_diversification_rates); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:3550:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3550 | for(long i=0; i::getMaxAbs() const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25417:26: required from here 25417 | return lambda.getMaxAbs() + mu.getMaxAbs() + psi.getMaxAbs(); | ~~~~~~~~~~~~~~~~^~ phylogenetics_cpp_routines.cpp:2646:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2646 | for(long i=0; i::getMaxAbs(double, double) const [with VALUE_TYPE = double]’: phylogenetics_cpp_routines.cpp:25422:26: required from here 25422 | return lambda.getMaxAbs(start_time,end_time) + mu.getMaxAbs(start_time,end_time) + psi.getMaxAbs(start_time,end_time); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:2657:32: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 2657 | for(long i=0; i& operator+=(std::vector&, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:25845:20: required from here 25845 | NCSAcrossings += 1l; | ^~ phylogenetics_cpp_routines.cpp:3477:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3477 | for(long i=0; i operator-(std::vector, const TYPE&) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27088:52: required from here 27088 | lvector force_keep_nodes = sampled_node_clades - Ntips; | ^~~~~ phylogenetics_cpp_routines.cpp:3495:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3495 | for(long i=0; i&, long int) [with TYPE = long int]’: phylogenetics_cpp_routines.cpp:27554:27: required from here 27554 | remove_item_from_vector(extant_tips, tip); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:918:17: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 918 | if(index==list.size()-1){ | ~~~~~^~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In instantiation of ‘void simulate_SBM_on_tree(long int, long int, long int, const std::vector&, const std::vector&, double, const DFUNCTOR&, double, double, dvector&, dvector&) [with DFUNCTOR = PiecewisePolynomial; dvector = std::vector]’: phylogenetics_cpp_routines.cpp:31394:22: required from here 31394 | simulate_SBM_on_tree( Ntips, | ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~ 31395 | Nnodes, | ~~~~~~~ 31396 | Nedges, | ~~~~~~~ 31397 | tree_edge, | ~~~~~~~~~~ 31398 | edge_length, | ~~~~~~~~~~~~ 31399 | radius, | ~~~~~~~ 31400 | diffusivity_integral, | ~~~~~~~~~~~~~~~~~~~~~ 31401 | root_theta, | ~~~~~~~~~~~ 31402 | root_phi, | ~~~~~~~~~ 31403 | clade_theta, | ~~~~~~~~~~~~ 31404 | clade_phi); | ~~~~~~~~~~ phylogenetics_cpp_routines.cpp:31296:48: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 31296 | for(long q=0, parent, child, e, edge; q&, TYPE2) [with TYPE1 = double; TYPE2 = double]’: phylogenetics_cpp_routines.cpp:5400:27: required from ‘long int min_polynomials_for_positive_exponential_of_irreducible_matrix(long int, const ARRAY_TYPE&) [with ARRAY_TYPE = std::vector]’ 5400 | if(find_first_occurrence(sum_of_powers, 0.0)<0) return (p+1); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:21465:94: required from here 21465 | const long min_polynomials = min_polynomials_for_positive_exponential_of_irreducible_matrix(Nstates, transition_matrix); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:468:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 468 | for(long n=0; n operator*(double, std::vector) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:10194:64: required from ‘LinearInterpolationFunctor::LinearInterpolationFunctor(const std::vector&, const std::vector&, bool, const VALUE_TYPE&, const VALUE_TYPE&, bool, double) [with VALUE_TYPE = std::vector]’ 10194 | referenceValues[0] = referenceValues[referenceCount-1] = 0.5*(referenceValues[0] + referenceValues[referenceCount-1]); | ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23339:141: required from here 23339 | modelD.E = LinearInterpolationFunctor(modelE.ages,modelE.trajectory,false,modelE.trajectory[0],modelE.trajectory.back(),true,0); | ^ phylogenetics_cpp_routines.cpp:3441:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 3441 | for(long i=0; i&, double, const std::vector&, std::vector&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:7458:21: required from ‘bool RungeKutta2(double, double, double, MODEL&, double, double, double, double, long int, double, const PROGRESS_REPORTER&, double, std::string&) [with COORDINATE = std::vector; MODEL = MuSSEmodelE; PROGRESS_REPORTER = ProgressReporter; std::string = std::__cxx11::basic_string]’ 7458 | linear_combination(1.0,currentPoint,current_dt1,k1,point2); // point2 = currentPoint + k1*current_dt1; | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:23441:9: required from here 23440 | bool success = RungeKutta2 | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23441 | (0, // start_time | ^~~~~~~~~~~~~~~~~ 23442 | oldest_age, // end_time | ~~~~~~~~~~~~~~~~~~~~~~~ 23443 | max(0.000001*oldest_age,min(0.2*oldest_age,relative_ODE_step/maxErate)), // default integration time step | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23444 | modelE, | ~~~~~~~ 23445 | minRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23446 | maxRecordingTimeStep, | ~~~~~~~~~~~~~~~~~~~~~ 23447 | guessNrecordings, | ~~~~~~~~~~~~~~~~~ 23448 | E_value_step, // recordingRelValueStep | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23449 | 5, // maxTimeStepRefinements | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23450 | 4, // refinement_factor | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23451 | ProgressReporter(true), | ~~~~~~~~~~~~~~~~~~~~~~~ 23452 | (runtime_out_seconds>0 ? max(runtime_out_seconds*0.01, runtime_out_seconds+start_runtime-get_thread_monotonic_walltime_seconds()) : 0.0), | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 23453 | warningMessage); | ~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:431:24: warning: comparison of integer expressions of different signedness: ‘long int’ and ‘std::vector::size_type’ {aka ‘long unsigned int’} [-Wsign-compare] 431 | for(long i=0; i&, const std::vector&)’: phylogenetics_cpp_routines.cpp:1322:25: warning: ‘t1’ may be used uninitialized [-Wmaybe-uninitialized] 1322 | W += (t2-t1) * abs(CDFY-CDFX); | ~~~^~~~ phylogenetics_cpp_routines.cpp:1306:32: note: ‘t1’ was declared here 1306 | double CDFX=0, CDFY=0, t1, t2; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_polynomial_via_bisection(const double*, long int, double, double, double, double, double, double, long int)’: phylogenetics_cpp_routines.cpp:2260:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2260 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2206:36: note: ‘c’ was declared here 2206 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double legendre_polynomial(long int, double)’: phylogenetics_cpp_routines.cpp:30948:16: warning: ‘Pn’ may be used uninitialized [-Wmaybe-uninitialized] 30948 | return Pn; | ^~ phylogenetics_cpp_routines.cpp:30942:16: note: ‘Pn’ was declared here 30942 | double Pn; | ^~ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_bisection(const dvector&, const dvector&, long int, bool, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2343:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2343 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2281:36: note: ‘c’ was declared here 2281 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘double solve_piecewise_polynomial_sum_bisection(const dvector&, const std::vector >&, const lvector&, bool, const dvector&, double, double, double, bool, double, double, long int, long int&, long int&)’: phylogenetics_cpp_routines.cpp:2440:16: warning: ‘c’ may be used uninitialized [-Wmaybe-uninitialized] 2440 | return c; // did not converge, but the last c is the best estimate | ^ phylogenetics_cpp_routines.cpp:2373:36: note: ‘c’ was declared here 2373 | double a = Xmin, b = Xmax, c; | ^ phylogenetics_cpp_routines.cpp: In function ‘bool get_dominant_eigenvalue(long int, const dvector&, long int, double, dvector&, double&)’: phylogenetics_cpp_routines.cpp:6031:37: warning: ‘error’ may be used uninitialized [-Wmaybe-uninitialized] 6031 | return (best_error&, double, const std::vector&, const std::vector&, long int, const std::string&, double, double)’: phylogenetics_cpp_routines.cpp:25359:51: warning: ‘W_degree’ may be used uninitialized [-Wmaybe-uninitialized] 25359 | const double origin_W = polynomial_value(W_degree,&refined_W_coeff[origin_rg*(W_degree+1)],oldest_age-age_offset); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:25287:24: note: ‘W_degree’ was declared here 25287 | long I_degree, W_degree, NRG; | ^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List HBD_PDR_loglikelihood_CPP(const std::vector&, double, double, const std::vector&, const std::vector&, long int, const std::string&, double, double, std::vector, long int)’: phylogenetics_cpp_routines.cpp:25186:102: warning: ‘Zdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25186 | branching_Z = polynomial_value(Zdegree, &Zcoeff[d][current_g*(Zdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:14: note: ‘Zdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp:25187:102: warning: ‘Wdegree’ may be used uninitialized [-Wmaybe-uninitialized] 25187 | branching_W = polynomial_value(Wdegree, &Wcoeff[d][current_g*(Wdegree+1)], branching_age-age_offset); | ~~~~~~~~^~~ phylogenetics_cpp_routines.cpp:25152:33: note: ‘Wdegree’ was declared here 25152 | long Zdegree, EZdegree, Wdegree; | ^~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘bool LUDecomposition(TYPE*, long unsigned int, long unsigned int*, int&) [with TYPE = double]’: phylogenetics_cpp_routines.cpp:4667:39: warning: ‘imax’ may be used uninitialized [-Wmaybe-uninitialized] 4667 | pivoting_indices[j] = imax; | ^~~~ phylogenetics_cpp_routines.cpp:4626:16: note: ‘imax’ was declared here 4626 | long i,imax,j,k; | ^~~~ phylogenetics_cpp_routines.cpp: In member function ‘void TreeSpeciationExtinctionModel::get_coalescent_trajectory(double, double, std::vector&) const’: phylogenetics_cpp_routines.cpp:10918:96: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 10918 | coalescent[t].Pmissing = coalescent_diversity_at_resolution_age/coalescent[t].diversity; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:10895:59: note: ‘coalescent_diversity_at_resolution_age’ was declared here 10895 | double total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List simulate_deterministic_diversity_growth_CPP(double, double, double, double, double, double, double, double, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::vector&, double, double, double, double, bool, bool, bool, bool, bool, bool, double)’: phylogenetics_cpp_routines.cpp:11139:86: warning: ‘Pmissing_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11139 | const double effective_rarefaction = rarefaction * (1-Pmissing_at_resolution_age); | ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11114:24: note: ‘Pmissing_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:11147:88: warning: ‘coalescent_diversity_at_resolution_age’ may be used uninitialized [-Wmaybe-uninitialized] 11147 | Pmissing = 1.0 - coalescent_diversity_at_resolution_age/total_diversities[t]; // effective Pmissing, based on coalescent and total diversity after collapsing and rarefaction phylogenetics_cpp_routines.cpp:11114:87: note: ‘coalescent_diversity_at_resolution_age’ was declared here 11114 | double Pmissing_at_resolution_age, total_diversity_at_resolution_age, coalescent_diversity_at_resolution_age; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List get_trait_richness_collectors_curve_CPP(long int, long int, long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, const std::vector&, long int, const std::string&, bool)’: phylogenetics_cpp_routines.cpp:20142:49: warning: ‘tip’ may be used uninitialized [-Wmaybe-uninitialized] 20142 | tip_included[tip] = true; | ^ phylogenetics_cpp_routines.cpp:20005:14: note: ‘tip’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~ phylogenetics_cpp_routines.cpp:20102:76: warning: ‘count_tips_remaining’ may be used uninitialized [-Wmaybe-uninitialized] 20102 | long tip_counter = uniformIntWithin(0,count_tips_remaining-1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:20005:26: note: ‘count_tips_remaining’ was declared here 20005 | long tip, clade, count_tips_remaining; | ^~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/RcppCommon.h:192, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp.h:27, from phylogenetics_cpp_routines.cpp:39: In function ‘SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = double]’, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:471:46, inlined from ‘SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:495:40, inlined from ‘SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = double]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:744:34, inlined from ‘SEXPREC* Rcpp::wrap(const T&) [with T = double]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap_end.h:30:38, inlined from ‘static SEXPREC* Rcpp::internal::generic_element_converter::get(const T&) [with T = double; int RTYPE = 19]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/converter.h:80:23, inlined from ‘static void Rcpp::Vector::replace_element__dispatch__isArgument(Rcpp::traits::false_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:530:13, inlined from ‘static void Rcpp::Vector::replace_element__dispatch(Rcpp::traits::true_type, iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:523:46, inlined from ‘static void Rcpp::Vector::replace_element(iterator, SEXP, R_xlen_t, const U&) [with U = Rcpp::traits::named_object; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:512:34, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1169:24, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static void Rcpp::Vector::replace_element_impl(iterator&, Rcpp::Shield&, int&, const T&, const TArgs& ...) [with T = Rcpp::traits::named_object; TArgs = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1170:29, inlined from ‘static Rcpp::Vector Rcpp::Vector::create__dispatch(Rcpp::traits::true_type, const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1146:29, inlined from ‘static Rcpp::Vector Rcpp::Vector::create(const T& ...) [with T = {Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object, Rcpp::traits::named_object}; int RTYPE = 19; StoragePolicy = Rcpp::PreserveStorage]’ at /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/vector/Vector.h:1128:50, inlined from ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’ at phylogenetics_cpp_routines.cpp:19126:39: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include/Rcpp/internal/wrap.h:448:41: warning: ‘root_edge’ may be used uninitialized [-Wmaybe-uninitialized] 448 | r_vector_start(x)[0] = object; | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List read_Newick_string_CPP(std::string, bool, bool, bool, bool)’: phylogenetics_cpp_routines.cpp:19042:29: note: ‘root_edge’ was declared here 19042 | double edge_length, root_edge; | ^~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::List find_edge_splitting_tree_CPP(long int, long int, long int, std::vector, bool, const std::vector&, bool)’: phylogenetics_cpp_routines.cpp:16206:111: warning: ‘best_Ntargets_upstream’ may be used uninitialized [-Wmaybe-uninitialized] 16206 | else if((!descends_from_best_edge[tip]) && (Nnontargets_downstream_per_clade[tip]==1) && targets_should_be_upstream) misplaced_nontargets.push_back(tip); // misplaced upstream non-target | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16167:30: note: ‘best_Ntargets_upstream’ was declared here 16167 | long best_edge = -1, best_Ntargets_upstream, best_Ntargets_downstream, best_Nmisplaced_targets, best_Nmisplaced_nontargets; | ^~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16188:42: warning: ‘best_Nmisplaced_targets’ may be used uninitialized [-Wmaybe-uninitialized] 16188 | misplaced_targets.reserve(best_Nmisplaced_targets); | ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16167:80: note: ‘best_Nmisplaced_targets’ was declared here 16167 | long best_edge = -1, best_Ntargets_upstream, best_Ntargets_downstream, best_Nmisplaced_targets, best_Nmisplaced_nontargets; | ^~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16189:45: warning: ‘best_Nmisplaced_nontargets’ may be used uninitialized [-Wmaybe-uninitialized] 16189 | misplaced_nontargets.reserve(best_Nmisplaced_nontargets); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp:16167:105: note: ‘best_Nmisplaced_nontargets’ was declared here 16167 | long best_edge = -1, best_Ntargets_upstream, best_Ntargets_downstream, best_Nmisplaced_targets, best_Nmisplaced_nontargets; | ^~~~~~~~~~~~~~~~~~~~~~~~~~ phylogenetics_cpp_routines.cpp: In function ‘Rcpp::NumericMatrix get_distance_matrix_between_clades_CPP(long int, long int, long int, const std::vector&, const std::vector&, const std::vector&, bool, const std::string&)’: phylogenetics_cpp_routines.cpp:13326:155: warning: ‘mrca’ may be used uninitialized [-Wmaybe-uninitialized] 13326 | distances(i,j) = distance_from_root_per_clade[cladeA] + distance_from_root_per_clade[cladeB] - 2*distance_from_root_per_clade[mrca]; | ^ phylogenetics_cpp_routines.cpp:13299:30: note: ‘mrca’ was declared here 13299 | long cladeA, cladeB, mrca; | ^~~~ gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c registerDynamicSymbol.c -o registerDynamicSymbol.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o castor.so RcppExports.o STMathExpression.o phylogenetics_cpp_routines.o registerDynamicSymbol.o -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpjkLOV2/R.INSTALL36016f6f92232d/castor/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-castor/00new/castor/libs ** R ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (castor) * installing *source* package ‘DAISIE’ ... ** this is package ‘DAISIE’ version ‘4.6.0’ ** package ‘DAISIE’ successfully unpacked and MD5 sums checked ** using staged installation ** libs using C compiler: ‘gcc-15 (Debian 15.2.0-1) 15.2.0’ using Fortran compiler: ‘GNU Fortran (Debian 15.2.0-1) 15.2.0’ using C++ compiler: ‘g++-15 (Debian 15.2.0-1) 15.2.0’ using C++17 make[1]: Entering directory '/home/hornik/tmp/scratch/RtmpD5Tt7P/R.INSTALL360b8e283d9c29/DAISIE/src' g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DAISIE_CS.cpp -o DAISIE_CS.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from DAISIE_types.h:14, from DAISIE_odeint.h:13, from DAISIE_CS.cpp:14: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from DAISIE_odeint.h:14: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::const_iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::const_iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector > >; OutputIterator = boost::numeric::ublas::vector > >::iterator]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector > >; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper > >, void>; State = boost::numeric::ublas::vector > >; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::cpp_daisie_cs_runmod&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::cpp_daisie_cs_runmod>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::cpp_daisie_cs_runmod>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_CS.cpp:391:29: required from here 391 | daisie_odeint::integrate(stepper, std::ref(rhs), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ DAISIE_CS.cpp:31:10: warning: ‘{anonymous}::abm_factor’ defined but not used [-Wunused-variable] 31 | double abm_factor = default_abm_factor; | ^~~~~~~~~~ g++-15 -std=gnu++17 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -pedantic -mtune=native -c DAISIE_IW.cpp -o DAISIE_IW.o In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/aux_/na_assert.hpp:23, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/arg.hpp:25, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/placeholders.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/apply.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_optimization.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array_wrapper.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/serialization/array.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/storage.hpp:22, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/ublas/vector.hpp:21, from DAISIE_types.h:14, from DAISIE_odeint.h:13, from DAISIE_IW.cpp:16: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: warning: unnecessary parentheses in declaration of ‘assert_arg’ [-Wparentheses] 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:194:21: note: remove parentheses 194 | failed ************ (Pred::************ | ^~~~~~~~~~~~~~~~~~~ | - 195 | assert_arg( void (*)(Pred), typename assert_arg_pred::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 196 | ); | ~ | - /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: warning: unnecessary parentheses in declaration of ‘assert_not_arg’ [-Wparentheses] 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/mpl/assert.hpp:199:21: note: remove parentheses 199 | failed ************ (boost::mpl::not_::************ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | - 200 | assert_not_arg( void (*)(Pred), typename assert_arg_pred_not::type ) | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 201 | ); | ~ | - In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:205, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Dense:1, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:28, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigen.h:25, from DAISIE_IW.cpp:18: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument ‘__m128’ [-Wignored-attributes] 49 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument ‘__m128i’ [-Wignored-attributes] 50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument ‘__m128d’ [-Wignored-attributes] 51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 222 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 228 | template<> struct unpacket_traits { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 1124 | ptranspose(PacketBlock& kernel) { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 1129 | ptranspose(PacketBlock& kernel) { | ^ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:174: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__m128’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 16 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__m128d’} [-Wignored-attributes] 29 | struct conj_helper { \ | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:165: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46: required from here 24 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__m128’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:271: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3: required from here 27 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ 22 | typedef typename find_best_packet<_Scalar,size>::type PacketScalar; | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49: required from ‘struct Eigen::internal::traits >’ 266 | Alignment = internal::traits::Alignment, | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47: required from here 98 | ResAlignment = traits >::Alignment | ^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 190 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 208 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ 302 | class DenseCoeffsBase : public DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ 555 | class DenseCoeffsBase | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ 41 | template class DenseBase | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ 48 | template class MatrixBase | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ 98 | class PlainObjectBase : public internal::dense_xpr_base::type | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ 178 | class Matrix | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ 46 | typedef typename Coefficients::CoeffReturnType CoeffReturnType; | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7: required from ‘class Eigen::Quaternion’ 273 | class Quaternion : public QuaternionBase > | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3: required from here 102 | { | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 56 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/SparseCore:37, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Sparse:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/RcppEigenForward.h:29: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ 36 | class SparseCompressedBase | ^~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ 96 | class SparseMatrix | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here 61 | typedef Triplet T; | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:330: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:29:101: required from ‘struct Eigen::internal::traits, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >’ 29 | typename remove_const::type>::ResScalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:33:44: required from ‘class Eigen::TensorBase, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, 0>’ 33 | typedef typename DerivedTraits::Scalar Scalar; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:325:7: required from ‘class Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>’ 325 | class TensorContractionOp : public TensorBase, ReadOnlyAccessors> | ^~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:180:62: required from here 180 | (laa_ * xx_slice(1,2) + c_[7] * xx_slice(1,1)).contract(ki_, product_dims); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:123, from DAISIE_IW.cpp:19: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 135 | Expression, DefaultDevice>::PacketReturnType>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘const int Eigen::internal::EvalRange, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>, long int, true>::PacketSize’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:293:31: required from ‘static void Eigen::internal::EvalRange::run(Evaluator*, StorageIndex, StorageIndex) [with Evaluator = Eigen::TensorEvaluator, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>; StorageIndex = long int]’ 293 | if (lastIdx - firstIdx >= PacketSize) { | ^~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:341:42: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 341 | EvalRange::run(&evaluator, firstIdx, lastIdx); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:286:62: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 286 | unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h: In instantiation of ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, const Eigen::TensorMap > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/Tensor.h:432:65: required from ‘Eigen::Tensor& Eigen::Tensor::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorMap >; Scalar_ = double; int NumIndices_ = 2; int Options_ = 0; IndexType_ = long int]’ 432 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:130:34: required from ‘{anonymous}::cpp_daisie_iw::cpp_daisie_iw(Rcpp::List) [with int Rank = 2; Rcpp::List = Rcpp::Vector<19>]’ 130 | ki_ = cmmap(ki.begin(), dim); | ^ /usr/include/c++/15/bits/unique_ptr.h:1085:30: required from ‘std::__detail::__unique_ptr_t<_Tp> std::make_unique(_Args&& ...) [with _Tp = {anonymous}::cpp_daisie_iw<2>; _Args = {Rcpp::Vector<19, Rcpp::PreserveStorage>&}; __detail::__unique_ptr_t<_Tp> = __detail::__unique_ptr_t<{anonymous}::cpp_daisie_iw<2> >]’ 1085 | { return unique_ptr<_Tp>(new _Tp(std::forward<_Args>(__args)...)); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:208:49: required from here 208 | iw2 = std::make_unique>(pars); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:135:58: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorMap > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 135 | Expression, DefaultDevice>::PacketReturnType>::size; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:91: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCost(Index, Index, Index, Index, Index, bool, bool) const [with Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:158:9: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 158 | contractionCost(m, n, bm, bn, bk, shard_by_col, false); | ^~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1562:81: warning: ignoring attributes on template argument ‘Eigen::PacketType::type’ {aka ‘__m128d’} [-Wignored-attributes] 1562 | const int output_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘int Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 161 | int num_threads_by_k = numThreadsInnerDim(m, n, k); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1629:81: warning: ignoring attributes on template argument ‘Eigen::PacketType::type’ {aka ‘__m128d’} [-Wignored-attributes] 1629 | const int output_packet_size = internal::unpacket_traits::size; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/Tensor:90: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/Core:333: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38: required from ‘struct Eigen::internal::general_matrix_vector_product, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 16, Eigen::MakePointer>, false, 0>’ 87 | typedef typename Traits::LhsPacket LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 767 | internal::general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 768 | rows, cols, lhs, rhs, | ~~~~~~~~~~~~~~~~~~~~~ 769 | buffer, resIncr, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42: required from ‘struct Eigen::internal::general_matrix_vector_product, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 16, Eigen::MakePointer>, false, 0>’ 91 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 767 | internal::general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 768 | rows, cols, lhs, rhs, | ~~~~~~~~~~~~~~~~~~~~~ 769 | buffer, resIncr, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘class Eigen::internal::gemv_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45: required from ‘struct Eigen::internal::general_matrix_vector_product, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>, 0, false, double, Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 16, Eigen::MakePointer>, false, 0>’ 95 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:767:117: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 767 | internal::general_matrix_vector_product::run( | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^ 768 | rows, cols, lhs, rhs, | ~~~~~~~~~~~~~~~~~~~~~ 769 | buffer, resIncr, alpha); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 44 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 45 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 46 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 42 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 51 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 52 | unpacket_traits<_RhsPacket>::vectorizable && | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 53 | int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size), | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 54 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 55 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 56 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1 | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 59 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 60 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 61 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘Eigen::TensorOpCost Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::contractionCostPerInnerDim(Index, Index, Index) const [with Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1630:25: required from ‘int Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::numThreadsInnerDim(Index, Index, Index) const [with Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Index = long int]’ 1630 | TensorOpCost cost = contractionCostPerInnerDim(m, n, k); | ^~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:161:28: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 161 | int num_threads_by_k = numThreadsInnerDim(m, n, k); | ^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1616:81: warning: ignoring attributes on template argument ‘Eigen::PacketType::type’ {aka ‘__m128d’} [-Wignored-attributes] 1616 | const int output_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemv(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:721:41: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 719 | this->template evalGemv(buffer); | ~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:740:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 740 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:741:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 741 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: required from ‘void Eigen::TensorEvaluator, Device_>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Device = Eigen::DefaultDevice; Scalar = double]’ 1017 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, Alignment, (buffer)); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::DefaultDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::addAllToBuffer(std::size_t, const Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*, const Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1278:34: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1278 | addAllToBuffer( | ~~~~~~~~~~~~~~~~~~~~~~~~~^ 1279 | m * n, | ~~~~~~ 1280 | /*src_buf0=*/block_buffers[(l0_index + 0) * l0_size], | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1281 | /*src_buf1=*/block_buffers[(l0_index + 1) * l0_size], | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1282 | /*src_buf2=*/block_buffers[(l0_index + 2) * l0_size], | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1283 | /*dst_buf= */ block_buffers[0]); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1166 | aggregateL0Blocks(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1348:56: warning: ignoring attributes on template argument ‘Eigen::PacketType::type’ {aka ‘__m128d’} [-Wignored-attributes] 1348 | internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h: In instantiation of ‘static void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::addToBuffer(std::size_t, const Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar*) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; std::size_t = long unsigned int; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Scalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1287:31: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::aggregateL0Blocks() const [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1287 | addToBuffer(m * n, block_buffers[l0_index * l0_size], | ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1288 | block_buffers[0]); | ~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1166:35: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1166 | aggregateL0Blocks(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1319:56: warning: ignoring attributes on template argument ‘Eigen::PacketType::type’ {aka ‘__m128d’} [-Wignored-attributes] 1319 | internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProduct(Scalar*) const [with int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 76 | evalProductImpl(buffer, NoCallback()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:703:70: required from ‘void Eigen::TensorContractionEvaluatorBase::evalTo(Scalar*) const [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 703 | static_cast(this)->template evalProduct(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1080 | typedef typename HalfTraits::LhsPacket LhsPacketHalf; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5: required from ‘void Eigen::internal::TensorContractionKernel::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’ 259 | GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 900 | kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | actual_nc, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45: required from ‘struct Eigen::internal::gebp_kernel, 4, 4, false, false>’ 1085 | typedef typename QuarterTraits::LhsPacket LhsPacketQuarter; | ^~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:5: required from ‘void Eigen::internal::TensorContractionKernel::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’ 259 | GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 900 | kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | actual_nc, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 425 | PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 426 | PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 427 | PACKET_DECL_COND_PREFIX(_, Res, _PacketSize); | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro ‘PACKET_DECL_COND_PREFIX’ 384 | prefix ## name ## Packet | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 432 | Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable, | ^~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 433 | LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 434 | RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 435 | ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 460 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 461 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 462 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] 465 | typedef QuadPacket RhsPacketx4; | ^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/assert.hpp:35, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:19, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size_type.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:21, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/functions.hpp:20, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range.hpp:18, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resize.hpp:24, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33, from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint.hpp:25, from DAISIE_odeint.h:14: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ In file included from /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:31: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/iterator/iterator_concepts.hpp:114:7: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:152:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::const_iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::const_iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/algorithm/equal.hpp:174:13: required from ‘OutputIterator boost::range::copy(const SinglePassRange&, OutputIterator) [with SinglePassRange = boost::numeric::ublas::vector > >; OutputIterator = boost::numeric::ublas::vector > >::iterator]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:38:27: required from ‘void boost::numeric::odeint::detail::do_copying(const Container1&, Container2&, std::integral_constant) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 38 | boost::range::copy( from , boost::begin( to ) ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:61:27: required from ‘static void boost::numeric::odeint::copy_impl_sfinae::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >; Enabler = void]’ 61 | detail::do_copying( from , to , is_range_type() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:71:58: required from ‘static void boost::numeric::odeint::copy_impl::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 71 | copy_impl_sfinae< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/copy.hpp:79:47: required from ‘void boost::numeric::odeint::copy(const Container1&, Container2&) [with Container1 = boost::numeric::ublas::vector > >; Container2 = boost::numeric::ublas::vector > >]’ 79 | copy_impl< Container1 , Container2 >::copy( from , to ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16: required from ‘void Eigen::internal::TensorContractionKernel::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>]’ 241 | LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | /*offset*/ 0); | ~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 881 | kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; ResScalar = double]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:259:17: required from ‘void Eigen::internal::TensorContractionKernel::invoke(const OutputMapper&, LhsScalar* const&, RhsScalar* const&, StorageIndex, StorageIndex, StorageIndex, ResScalar, ResScalar) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; RhsBlock = double*]’ 259 | GebpKernel()(output_mapper, lhsBlock, rhsBlock, rows, depth, cols, alpha, | ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 260 | /*strideA*/ kComputeStrideFromBlockDimensions, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 261 | /*strideB*/ kComputeStrideFromBlockDimensions, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 262 | /*offsetA*/ 0, /*offsetB*/ 0); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:900:24: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 900 | kernel.invoke(output_mapper, blockA, blockB, actual_mc, actual_kc, | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 901 | actual_nc, alpha, beta); | ~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1920 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1921 | const int SResPacketQuarterSize = unpacket_traits::half>::half>::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1977 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1978 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1979 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 1980 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16: required from ‘void Eigen::internal::TensorContractionKernel::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::DefaultDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::DefaultDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>]’ 241 | LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | /*offset*/ 0); | ~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double; Index = long int]’ 881 | kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:1017:5: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::DefaultDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::DefaultDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:131:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::DefaultDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >]’ 131 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorBase.h:1164:65: required from ‘Derived& Eigen::TensorBase::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Derived = Eigen::TensorMap, 0, Eigen::MakePointer>; int AccessLevel = 1]’ 1164 | internal::TensorExecutor::run(assign, DefaultDevice()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:185:12: required from here 185 | dx = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > >::iterator>)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:278:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: required from ‘struct boost::concepts::requirement_ > > >)>’ 72 | struct requirement_ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:5: note: in a call to non-static member function ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’ 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp: In instantiation of ‘static void boost::concepts::requirement::failed() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/size.hpp:62:9: required from ‘typename boost::range_size::type boost::size(const SinglePassRange&) [with SinglePassRange = numeric::ublas::vector > >; typename range_size::type = long unsigned int]’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:45:29: required from ‘static bool boost::numeric::odeint::same_size_impl_sfinae::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >; Enabler = void]’ 45 | return ( boost::size( x1 ) == boost::size( x2 ) ); | ~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:57:67: required from ‘static bool boost::numeric::odeint::same_size_impl::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >]’ 57 | return same_size_impl_sfinae< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/same_size.hpp:66:56: required from ‘bool boost::numeric::odeint::same_size(const State1&, const State2&) [with State1 = boost::numeric::ublas::vector > >; State2 = boost::numeric::ublas::vector > >]’ 66 | return same_size_impl< State1 , State2 >::same_size( x1 , x2 ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:34:20: required from ‘bool boost::numeric::odeint::adjust_size_by_resizeability(ResizeWrappedState&, const State&, std::true_type) [with ResizeWrappedState = state_wrapper > >, void>; State = boost::numeric::ublas::vector > >; std::true_type = std::true_type]’ 34 | if ( !same_size( x.m_v , y ) ) | ~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:263:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: warning: ‘this’ pointer is null [-Wnonnull] 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::incrementable_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::Convertible]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: required from ‘struct boost::Convertible’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::Convertible]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::Convertible::~Convertible() [with X = boost::iterators::random_access_traversal_tag; Y = boost::iterators::single_pass_traversal_tag]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:208:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 208 | BOOST_CONCEPT_USAGE(Convertible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::const_iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::const_iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::const_iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::const_iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::const_iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::const_iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/rosenbrock4_controller.hpp:106:41: required from ‘boost::numeric::odeint::controlled_step_result boost::numeric::odeint::rosenbrock4_controller::try_step(System, state_type&, time_type&, time_type&) [with System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; Stepper = boost::numeric::odeint::rosenbrock4; state_type = boost::numeric::ublas::vector > >; time_type = double]’ 106 | boost::numeric::odeint::copy( m_xnew.m_v , x ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/detail/integrate_adaptive.hpp:103:30: required from ‘size_t boost::numeric::odeint::detail::integrate_adaptive(Stepper, System, State&, Time&, Time, Time&, Observer, boost::numeric::odeint::controlled_stepper_tag) [with Stepper = boost::numeric::odeint::rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = boost::numeric::odeint::null_observer; size_t = long unsigned int]’ 103 | res = st.try_step( system , start_state , start_time , dt ); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:40:38: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time, Observer) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; Observer = null_observer; size_t = long unsigned int]’ 40 | return detail::integrate_adaptive( | ~~~~~~~~~~~~~~~~~~~~~~~~~~^ 41 | stepper , system , start_state , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 42 | start_time , end_time , dt , | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 43 | observer , stepper_category() ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/integrate/integrate_adaptive.hpp:81:30: required from ‘size_t boost::numeric::odeint::integrate_adaptive(Stepper, System, State&, Time, Time, Time) [with Stepper = rosenbrock4_controller >; System = std::pair<{anonymous}::daisie_iw_wrapper&, daisie_odeint::jacobian_policy::const_from_linear_rhs<{anonymous}::daisie_iw_wrapper>&>; State = boost::numeric::ublas::vector > >; Time = double; size_t = long unsigned int]’ 81 | return integrate_adaptive( stepper , system , start_state , start_time , end_time , dt , null_observer() ); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:261:25: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 261 | integrate_adaptive(controlled_stepper_t(atol, rtol), sys, y, t0, t1, 0.1 * (t1 - t0)); | ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = const boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h: In instantiation of ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = false; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:796:37: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartialWithoutOutputKernel(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 794 | evalGemmPartial(buffer, k_start, k_end, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ 797 | num_threads); | ~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1238:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::processBlock(Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1239 | evaluator->template evalGemmPartialWithoutOutputKernel, Alignment, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 1240 | (buf, begin, end, | ^~~~~~~~~~~~~~~~~ 1241 | /*num_threads=*/internal::convert_index(num_blocks))); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1383:30: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::eval(Eigen::Barrier&, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index, Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index) [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::Index = long int]’ 1383 | processBlock(block_idx, block_start, block_end); | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:1162:22: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::EvalShardedByInnerDimContext::run() [with int Alignment = 0; DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel]’ 1162 | eval(barrier, 0, num_blocks); | ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:168:36: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 168 | ctx.template run(); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:819:104: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 819 | const Index lhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:820:105: warning: ignoring attributes on template argument ‘Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::PacketReturnType’ {aka ‘__m128d’} [-Wignored-attributes] 820 | const Index rhs_packet_size = internal::unpacket_traits::size; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16: required from ‘void Eigen::internal::TensorContractionKernel::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>]’ 241 | LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | /*offset*/ 0); | ~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 881 | kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, true, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:248:16: required from ‘void Eigen::internal::TensorContractionKernel::packRhs(RhsScalar**, const typename RhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; RhsBlock = double*; typename RhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>]’ 248 | RhsPacker()(*rhsBlock, data_mapper, depth, cols); | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:894:25: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 894 | kernel.packRhs(&blockB, rhs.getSubMapper(k2, j2), actual_kc, | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 895 | actual_nc); | ~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = true; bool rhs_inner_dim_contiguous = false; bool rhs_inner_dim_reordered = false; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__m128d’} [-Wignored-attributes] 2459 | PacketBlock kernel; | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:241:16: required from ‘void Eigen::internal::TensorContractionKernel::packLhs(LhsScalar**, const typename LhsMapper::SubMapper&, StorageIndex, StorageIndex) [with ResScalar = double; LhsScalar = double; RhsScalar = double; StorageIndex = long int; OutputMapper = Eigen::internal::blas_data_mapper; LhsMapper = Eigen::internal::TensorContractionInputMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>; RhsMapper = Eigen::internal::TensorContractionInputMapper, Eigen::ThreadPoolDevice>, std::array, std::array, 2, true, true, 0, Eigen::MakePointer>; LhsBlock = double*; typename LhsMapper::SubMapper = Eigen::internal::TensorContractionSubMapper, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, Eigen::ThreadPoolDevice>, std::array, std::array, 2, false, false, 0, Eigen::MakePointer>]’ 241 | LhsPacker()(*lhsBlock, data_mapper, depth, rows, /*stride*/ 0, | ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 242 | /*offset*/ 0); | ~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:881:23: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemmPartial(Scalar*, Index, Index, int) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; bool use_output_kernel = true; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double; Index = long int]’ 881 | kernel.packLhs(&blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc); | ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:787:52: required from ‘void Eigen::TensorContractionEvaluatorBase::evalGemm(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 784 | this->template evalGemmPartial(buffer, 0, k, 1); | ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:724:66: required from ‘void Eigen::TensorContractionEvaluatorBase::evalProductSequential(Scalar*) const [with bool lhs_inner_dim_contiguous = false; bool rhs_inner_dim_contiguous = true; bool rhs_inner_dim_reordered = true; int Alignment = 0; Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; Scalar = double]’ 723 | this->template evalGemm(buffer); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:183:7: required from ‘void Eigen::TensorEvaluator, Eigen::ThreadPoolDevice>::evalProductImpl(Scalar*, DoneCallback) const [with DoneCallback = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>::NoCallback; int Alignment = 0; Indices = const std::array, 1>; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::Tensor; OutputKernelType = const Eigen::NoOpOutputKernel; Scalar = double]’ 183 | TENSOR_CONTRACTION_DISPATCH(this->template evalProductSequential, | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ 184 | Unaligned, (buffer)); | ~~~~~~~~~~~^~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContractionThreadPool.h:76:43: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorContraction.h:609:7: required from ‘bool Eigen::TensorContractionEvaluatorBase::evalSubExprsIfNeeded(EvaluatorPointerType) [with Derived = Eigen::TensorEvaluator, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>, Eigen::ThreadPoolDevice>; EvaluatorPointerType = double*]’ 609 | evalTo(data); | ^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorEvaluator.h:617:37: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with BinaryOp = Eigen::internal::scalar_sum_op; LeftArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >; RightArgType = const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel>; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 617 | m_rightImpl.evalSubExprsIfNeeded(NULL); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorAssign.h:152:44: required from ‘bool Eigen::TensorEvaluator, Device>::evalSubExprsIfNeeded(EvaluatorPointerType) [with LeftArgType = Eigen::TensorMap, 0, Eigen::MakePointer>; RightArgType = const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; Device = Eigen::ThreadPoolDevice; EvaluatorPointerType = double*]’ 152 | return m_rightImpl.evalSubExprsIfNeeded(m_leftImpl.data()); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorExecutor.h:335:61: required from ‘static void Eigen::internal::TensorExecutor::run(const Expression&, const Eigen::ThreadPoolDevice&) [with Expression = const Eigen::TensorAssignOp, 0, Eigen::MakePointer>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> > >; bool Vectorizable = true; Eigen::internal::TiledEvaluation Tiling = Eigen::internal::Off]’ 335 | const bool needs_assign = evaluator.evalSubExprsIfNeeded(nullptr); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/unsupported/Eigen/CXX11/src/Tensor/TensorDevice.h:37:62: required from ‘Eigen::TensorDevice& Eigen::TensorDevice::operator=(const OtherDerived&) [with OtherDerived = Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::TensorContractionOp, 1>, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorCwiseUnaryOp >, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > >, const Eigen::TensorCwiseBinaryOp, const Eigen::TensorMap, 0, Eigen::MakePointer>, const Eigen::TensorSlicingOp, const Eigen::DSizes, const Eigen::TensorPaddingOp, 3>, const Eigen::TensorMap, 0, Eigen::MakePointer> > > > >, const Eigen::Tensor, const Eigen::NoOpOutputKernel> >; ExpressionType = Eigen::TensorMap, 0, Eigen::MakePointer>; DeviceType = Eigen::ThreadPoolDevice]’ 37 | internal::TensorExecutor::run(assign, m_device); | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~ DAISIE_IW.cpp:182:25: required from here 182 | dx.device(*dev) = ddx; | ^~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2100 | typedef typename unpacket_traits::half>::half QuarterPacket; | ^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2102 | HalfPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] 2103 | QuarterPacketSize = unpacket_traits::size, | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__m128d’} [-Wignored-attributes] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::CopyConstructible > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: required from ‘struct boost::CopyConstructible > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:125:16: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 125 | struct IncrementableIteratorConcept : CopyConstructible | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::CopyConstructible::~CopyConstructible() [with TT = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:167:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 167 | BOOST_CONCEPT_USAGE(CopyConstructible) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::IncrementableIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: required from ‘struct boost::range_detail::IncrementableIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::IncrementableIteratorConcept::~IncrementableIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:136:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 136 | BOOST_CONCEPT_USAGE(IncrementableIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::EqualityComparable > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: required from ‘struct boost::EqualityComparable > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:147:16: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 147 | struct SinglePassIteratorConcept | ^~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::EqualityComparable::~EqualityComparable() [with TT = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept_check.hpp:233:5: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 233 | BOOST_CONCEPT_USAGE(EqualityComparable) { | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > >::iterator> >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: required from ‘struct boost::range_detail::SinglePassIteratorConcept > >::iterator>’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::range_detail::SinglePassIteratorConcept > >::iterator>]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > >::iterator> >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > >::iterator> >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::range_detail::SinglePassIteratorConcept::~SinglePassIteratorConcept() [with Iterator = boost::numeric::ublas::vector > >::iterator]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:158:13: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 158 | BOOST_CONCEPT_USAGE(SinglePassIteratorConcept) | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp: In instantiation of ‘boost::concepts::usage_requirements::~usage_requirements() [with Model = boost::SinglePassRangeConcept > > >]’: /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:50:47: required from ‘static void boost::concepts::requirement::failed() [with Model = boost::concepts::usage_requirements > > > >]’ 50 | static void failed() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: required from ‘struct boost::SinglePassRangeConcept > > >’ 92 | &::boost::concepts::requirement_::failed> \ | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:32:62: required by substitution of ‘template boost::concepts::detail::yes boost::concepts::detail::has_constraints_(Model*, wrap_constraints*) [with Model = boost::SinglePassRangeConcept > > >]’ 32 | inline yes has_constraints_(Model*, wrap_constraints* = 0); | ^~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:42:5: required from ‘const bool boost::concepts::not_satisfied > > > >::value’ 44 | , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) ); | ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/has_constraints.hpp:45:51: required from ‘struct boost::concepts::not_satisfied > > > >’ 45 | typedef boost::integral_constant type; | ^~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/detail/general.hpp:72:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/util/resizer.hpp:73:21: required from ‘bool boost::numeric::odeint::initially_resizer::adjust_size(const State&, ResizeFunction) [with State = boost::numeric::ublas::vector > >; ResizeFunction = boost::numeric::odeint::adams_bashforth<1, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer, boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >::initialize > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > > >(std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >, std::reference_wrapper<{anonymous}::daisie_iw_wrapper>, boost::numeric::ublas::vector > >&, time_type&, time_type)::]’ 73 | return f( x ); | ~^~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:196:30: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(ExplicitStepper, System, StateIn&, time_type&, time_type) [with ExplicitStepper = std::reference_wrapper > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer> >; System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 196 | m_resizer.adjust_size(x, [this](auto&& arg) { return this->resize_impl(std::forward(arg)); }); | ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/numeric/odeint/stepper/adams_bashforth.hpp:212:19: required from ‘void boost::numeric::odeint::adams_bashforth::initialize(System, StateIn&, time_type&, time_type) [with System = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; StateIn = boost::numeric::ublas::vector > >; long unsigned int Steps = 1; State = boost::numeric::ublas::vector > >; Value = double; Deriv = boost::numeric::ublas::vector > >; Time = double; Algebra = boost::numeric::odeint::vector_space_algebra; Operations = boost::numeric::odeint::default_operations; Resizer = boost::numeric::odeint::initially_resizer; InitializingStepper = boost::numeric::odeint::extrapolation_stepper<4, boost::numeric::ublas::vector > >, double, boost::numeric::ublas::vector > >, double, boost::numeric::odeint::vector_space_algebra, boost::numeric::odeint::default_operations, boost::numeric::odeint::initially_resizer>; time_type = double]’ 212 | initialize( std::ref( m_initializing_stepper ) , system , x , t , dt ); | ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:158:18: required from ‘void daisie_odeint::ab(Rhs, state_type&, double, double) [with long unsigned int Steps = 1; Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; state_type = boost::numeric::ublas::vector > >]’ 158 | ab.initialize(rhs, y, t0, abm_factor * (t1 - t0)); | ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ DAISIE_odeint.h:230:22: required from ‘void daisie_odeint::integrate(const std::string&, Rhs, state_type&, double, double, double, double) [with Rhs = std::reference_wrapper<{anonymous}::daisie_iw_wrapper>; std::string = std::__cxx11::basic_string; state_type = boost::numeric::ublas::vector > >]’ 230 | case '1': ab<1>(rhs, y, t0, t1); break; | ~~~~~^~~~~~~~~~~~~~~~ DAISIE_IW.cpp:245:27: required from here 245 | daisie_odeint::integrate(stepper, std::ref(iw), y, times[0], times[1], atol, rtol); | ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:20:48: warning: ‘this’ pointer is null [-Wnonnull] 20 | ~usage_requirements() { ((Model*)0)->~Model(); } | ~~~~~~~~~~~~~~~~~~~^~ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/concept/usage.hpp:37:7: note: in a call to non-static member function ‘boost::SinglePassRangeConcept::~SinglePassRangeConcept() [with T = boost::numeric::ublas::vector > >]’ 37 | ~model() | ^ /home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include/boost/range/concepts.hpp:284:9: note: in expansion of macro ‘BOOST_CONCEPT_USAGE’ 284 | BOOST_CONCEPT_USAGE(SinglePassRangeConcept) | ^~~~~~~~~~~~~~~~~~~ gfortran-15 -std=f2018 -fpic -g -O2 -Wall -pedantic -mtune=native -c DAISIE_loglik_rhs_FORTRAN.f95 -o DAISIE_loglik_rhs_FORTRAN.o DAISIE_loglik_rhs_FORTRAN.f95:15:25: 15 | INTEGER DIMP, II, I | 1 Warning: Unused variable ‘i’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:81:33: 81 | SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip) | 1~~ Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:81:38: 81 | SUBROUTINE daisie_runmod (neq, t, Conc, dConc, yout, ip) | 1 Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:222:28: 222 | DOUBLE PRECISION :: FF1, FFF | 1~~ Warning: Unused variable ‘ff1’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:222:33: 222 | DOUBLE PRECISION :: FF1, FFF | 1~~ Warning: Unused variable ‘fff’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:229:26: 229 | CHARACTER(len=100) msg | 1~~ Warning: Unused variable ‘msg’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:208:34: 208 | SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip) | 1~~ Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:225:24: 225 | DOUBLE PRECISION rn(2) | 1~~~~ Warning: Unused variable ‘rn’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:208:39: 208 | SUBROUTINE daisie_runmod1 (neq, t, Conc, dConc, yout, ip) | 1 Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:383:34: 383 | SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip) | 1~~ Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:383:39: 383 | SUBROUTINE daisie_runmod2 (neq, t, Conc, dConc, yout, ip) | 1 Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:594:47: 594 | INTEGER :: neq, ip(*), i, ii, j | 1 Warning: Unused variable ‘j’ declared at (1) [-Wunused-variable] DAISIE_loglik_rhs_FORTRAN.f95:589:34: 589 | SUBROUTINE daisie_runmod3 (neq, t, Conc, dConc, yout, ip) | 1~~ Warning: Unused dummy argument ‘neq’ at (1) [-Wunused-dummy-argument] DAISIE_loglik_rhs_FORTRAN.f95:589:39: 589 | SUBROUTINE daisie_runmod3 (neq, t, Conc, dConc, yout, ip) | 1 Warning: Unused dummy argument ‘t’ at (1) [-Wunused-dummy-argument] gcc-15 -I"/home/hornik/tmp/R-d-gcc-15/include" -DNDEBUG -D_HAS_AUTO_PTR_ETC=0 -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/Rcpp/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/RcppEigen/include' -I'/home/hornik/lib/R/Library/4.6/x86_64-linux-gnu/BH/include' -I/usr/local/include -DUSE_TYPE_CHECKING_STRICT -D_FORTIFY_SOURCE=3 -fpic -g -O2 -Wall -Wstrict-prototypes -pedantic -mtune=native -c R_init_DAISIE.c -o R_init_DAISIE.o g++-15 -std=gnu++17 -shared -L/home/hornik/tmp/R-d-gcc-15/lib -Wl,-O1 -o DAISIE.so DAISIE_CS.o DAISIE_IW.o DAISIE_loglik_rhs_FORTRAN.o R_init_DAISIE.o -lgfortran -lm -lquadmath -L/home/hornik/tmp/R-d-gcc-15/lib -lR make[1]: Leaving directory '/home/hornik/tmp/scratch/RtmpD5Tt7P/R.INSTALL360b8e283d9c29/DAISIE/src' installing to /home/hornik/tmp/CRAN_recheck/Library/00LOCK-DAISIE/00new/DAISIE/libs ** R ** data ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location ** checking absolute paths in shared objects and dynamic libraries ** testing if installed package can be loaded from final location ** testing if installed package keeps a record of temporary installation path * DONE (DAISIE) checking ggimage_0.3.4.tar.gz ... checking calendRio_0.2.1.tar.gz ... checking calendR_1.2.tar.gz ... checking ggalignment_1.0.2.tar.gz ... checking hexSticker_0.4.9.tar.gz ... checking IDEATools_3.5.2.tar.gz ... checking metabolic_0.1.2.tar.gz ... checking metanetwork_0.7.0.tar.gz ... checking RevGadgets_1.2.1.tar.gz ... checking SWMPrExtension_2.2.5.1.tar.gz ... checking cvms_1.8.0.tar.gz ... checking DAISIEprep_1.0.0.tar.gz ... checking ggbreak_0.1.5.tar.gz ... checking ggfoundry_0.3.1.tar.gz ... checking ggplotify_0.1.2.tar.gz ... checking meme_0.2.4.tar.gz ... checking pcutils_0.2.8.tar.gz ... checking RAINBOWR_0.1.38.tar.gz ... Depends: Package: ggimage Depends: R (>= 4.1.0), ggplot2 Imports: ggfun, ggiraph, ggplotify, grid, jsonlite, magick, methods, purrr, rlang, scales, tibble, tools, utils, withr Timings: user system elapsed ggimage 41.486 3.875 48.453 Results: Check status summary: NOTE OK Source packages 0 1 Reverse depends 1 16 Check results summary: ggimage ... OK rdepends_calendR ... OK rdepends_calendRio ... OK rdepends_cvms ... OK rdepends_DAISIEprep ... OK rdepends_ggalignment ... OK rdepends_ggbreak ... OK rdepends_ggfoundry ... OK rdepends_ggplotify ... OK rdepends_hexSticker ... OK rdepends_IDEATools ... OK rdepends_meme ... OK rdepends_metabolic ... OK rdepends_metanetwork ... OK rdepends_pcutils ... OK rdepends_RAINBOWR ... OK rdepends_RevGadgets ... OK rdepends_SWMPrExtension ... NOTE * checking Rd cross-references ... NOTE